A recent systematic review of Machine Learning (ML) approaches to health data, containing over 100 studies, found that the most investigated problem was mental health (Yin et al., 2019). Relatedly, recent estimates suggest that between 165,000 and 325,000 health and wellness apps are now commercially available, with over 10,000 of those designed specifically for mental health (Carlo et al., 2019). In light of these trends, the present chapter has three aims: (1) provide an informative overview of some of the recent (...) work taking place at the intersection of text mining and mental health so that we can (2) highlight and analyze several pressing ethical issues that are arising in this rapidly growing field and (3) suggest productive directions for how these issues might be better addressed within future interdisciplinary work to ensure the responsible development of text mining approaches in psychology generally, and in mental health fields, specifically. In Section 1, we review some of the recent literature on text-mining and mental health in the contexts of traditional experimental settings, social media, and research involving electronic health records. Then, in Section 2, we introduce and discuss ethical concerns that arise before, during, and after research is conducted. Finally, in Section 3, we offer several suggestions about how ethical oversight of text-mining research might be improved to be more responsive to the concerns mapped out in Section 2. (shrink)

In this paper we look at the manual analysis of arguments and how this compares to the current state of automatic argument analysis. These considerations are used to develop a new approach combining a machine learning algorithm to extract propositions from text, with a topic model to determine argument structure. The results of this method are compared to a manual analysis.

Abstract: Idea mining is an interesting field in the area of information retrieval and it is increasingly becoming important asset for decision makers. Huge volumes of high quality data from various sources such as scanners, mobile phones, loyalty cards, the web, and social media platforms presents enormous opportunity for organization to achieve success in their businesses. It is possible to achieve this by properly analysing data to reveal feature patterns; hence decision makers can capitalize upon the resulting ideas from (...) wealth of information available. Idea mining helps managers to use their time efficiently by grasping ideas from a huge amount of unstructured data with text mining, instead of reading through page by page, it also helps to avoid the danger of overlooking data with useful ideas. The main objective of this survey article is to provide assessment on a number of successful text mining and text classification tools combined with idea mining measures to extract the idea from texts. (shrink)

Because obituaries are succinct and explicitly intended to summarize their subjects’ lives, they may be expected to include only the features that the author finds most salient but also to signal to others in the community the socially-recognized aspects of the deceased’s character. We begin by reviewing studies 1 and 2, in which obituaries were carefully read and labeled. We then report study 3, which further develops these results with a semi-automated, large-scale semantic analysis of several thousand obituaries. Geography, gender, (...) and elite status all turn out to be associated with the virtues and values associated with the deceased. (shrink)

At the heart of Mizrahi’s project lies a sociological narrative concerning the recent history of philosophers’ negative attitudes towards scientism. Critics (e.g. de Ridder (2019), Wilson (2019) and Bryant (2020)), have detected various empirical inadequacies in Mizrahi’s methodology for discussing these attitudes. Bryant (2020) points out one of the main pertinent methodological deficiencies here, namely that the mere appearance of the word ‘scientism’ in a text does not suffice in determining whether the author feels threatened by it. Not all (...) philosophers use the term in ‘inherently negative’ (29) or pejorative ways. In this paper, I not only corroborate Bryant’s critical claim, but argue that Mizrahi’s response to this part of Bryant’s objection is inadequate. (shrink)

The necessary condition for the reception of art is aesthetic distance, which paradoxically relies on direct experience: one has to be there in front of the artwork, has to live the experience. Therefore, the current pandemic and the practice of social distancing, which attempts to slow it down, is a serious challenge for the arts. This text analyses the ways in which artists and the institutions which mediate art react to the conditions caused by the pandemic. I will present (...) some creative practices which turn the adversity of the pandemic into an asset (the White Cuib Facebook project and the series by Sándor Bartha). So, there are projects which mine the gap (social distancing) and use it creatively. Then I will analyze the practice of some museums and galleries, focusing on the positive examples (e.g., the “Stay at Home Museum”) as well as on the difficulties. The examined cases will reveal the fact that while the artists were able to react in creative ways to the constraints and to create artworks which point beyond the contextual value, art institutions generally attempted merely to get through this period, hoping that they would soon be able to get back to life as usual. (shrink)

According to the PubMed resource from the U.S. National Library of Medicine, over 750,000 scientific articles have been published in the ~5000 biomedical journals worldwide in the year 2007 alone. The vast majority of these publications include results from hypothesis-driven experimentation in overlapping biomedical research domains. Unfortunately, the sheer volume of information being generated by the biomedical research enterprise has made it virtually impossible for investigators to stay aware of the latest findings in their domain of interest, let alone to (...) be able to assimilate and mine data from related investigations for purposes of meta-analysis. While computers have the potential for assisting investigators in the extraction, management and analysis of these data, information contained in the traditional journal publication is still largely unstructured, free-text descriptions of study design, experimental application and results interpretation, making it difficult for computers to gain access to the content of what is being conveyed without significant manual intervention. In order to circumvent these roadblocks and make the most of the output from the biomedical research enterprise, a variety of related standards in knowledge representation are being developed, proposed and adopted in the biomedical community. In this chapter, we will explore the current status of efforts to develop minimum information standards for the representation of a biomedical experiment, ontologies composed of shared vocabularies assembled into subsumption hierarchical structures, and extensible relational data models that link the information components together in a machine-readable and human-useable framework for data mining purposes. (shrink)

Philosophy is often divided into two traditions: analytic and continental philosophy. Characterizing the analytic-continental divide, however, is no easy task. Some philosophers explain the divide in terms of the place of argument in these traditions. This raises the following questions: Is analytic philosophy rife with arguments while continental philosophy is devoid of arguments? Or can different types of arguments be found in analytic and continental philosophy? This paper presents the results of an empirical study of a large corpus of philosophical (...) texts mined from the JSTOR database (n = 53,260) designed to find patterns of argumentation by type. Overall, the results suggest that there are no significant differences between the types of arguments advanced in analytic and continental philosophy journal articles. The findings, therefore, provide no empirical support to the hypothesis that the divide between analytic and continental philosophy has to do with the place of argument in these traditions. (shrink)

In this paper, we set out to investigate the following question: if science relies heavily on induction, does philosophy of science rely heavily on induction as well? Using data mining and text analysis methods, we study a large corpus of philosophical texts mined from the JSTOR database (n = 14,199) in order to answer this question empirically. If philosophy of science relies heavily on induction, just as science supposedly does, then we would expect to find significantly more inductive (...) arguments than deductive arguments and abductive arguments in the published works of philosophers of science. Using indicator words to classify arguments by type (namely, deductive, inductive, and abductive arguments), we search through our corpus to find patterns of argumentation. Overall, the results of our study suggest that philosophers of science do rely on inductive inference. But induction may not be as foundational to philosophy of science as it is thought to be for science, given that philosophers of science make significantly more deductive arguments than inductive arguments. Interestingly, our results also suggest that philosophers of science do not rely on abductive arguments all that much, even though philosophers of science consider abduction to be a cornerstone of scientific methodology. (shrink)

What is philosophy of science? Numerous manuals, anthologies or essays provide carefully reconstructed vantage points on the discipline that have been gained through expert and piecemeal historical analyses. In this paper, we address the question from a complementary perspective: we target the content of one major journal of the field—Philosophy of Science—and apply unsupervised text-mining methods to its complete corpus, from its start in 1934 until 2015. By running topic-modeling algorithms over the full-text corpus, we identified 126 (...) key research topics that span across 82 years. We also tracked their evolution and fluctuating significance over time in the journal articles. Our results concur with and document known and lesser-known episodes of the philosophy of science, including the rise and fall of logic and language-related topics, the relative stability of a metaphysical and ontological questioning (space and time, causation, natural kinds, realism), the significance of epistemological issues about the nature of scientific knowledge as well as the rise of a recent philosophy of biology and other trends. These analyses exemplify how computational text-mining methods can be used to provide an empirical large-scale and data-driven perspective on the history of philosophy of science that is complementary to other current historical approaches. (shrink)

The concept of “life” certainly is of some use to distinguish birds and beavers from water and stones. This pragmatic usefulness has led to its construal as a categorical predicate that can sift out living entities from non-living ones depending on their possessing specific properties—reproduction, metabolism, evolvability etc. In this paper, we argue against this binary construal of life. Using text-mining methods across over 30,000 scientific articles, we defend instead a degrees-of-life view and show how these methods can (...) contribute to experimental philosophy of science and concept explication. We apply topic-modeling algorithms to identify which specific properties are attributed to a target set of entities (bacteria, archaea, viruses, prions, plasmids, phages and the molecule of adenine). Eight major clusters of properties were identified together with their relative relevance for each target entity (two that relate to metabolism and catalysis, one to genetics, one to evolvability, one to structure, and—rather unexpectedly—three that concern interactions with the environment broadly construed). While aligning with intuitions—for instance about viruses being less alive than bacteria—these quantitative results also reveal differential degrees of performance that have so far remained elusive or overlooked. Taken together, these analyses provide a conceptual “lifeness space” that makes it possible to move away from a categorical construal of life by empirically assessing the relative lifeness of more-or-less alive entities. (shrink)

This paper presents the results of an empirical study following up on Mizrahi (2021). Using the same methods of text mining and corpus analysis used by Mizrahi (2021), we test empirically a philosophical account of scientific progress that Mizrahi (2021) left out of his empirical study, namely, the so-called functional-internalist account of scientific progress according to which the aim or goal or scientific research is to solve problems. In general, our results do not lend much empirical evidence in (...) support of the problem-solving model of scientific progress over the other philosophical accounts of scientific progress (namely, the epistemic, noetic, and semantic accounts of scientific progress) tested in Mizrahi (2021) and in this follow-up study. Of all the subjects in the JSTOR database we have tested in this study, however, Mathematics is an interesting exception as far as the problem-solving model of scientific progress is concerned. For, in Mathematics alone, we have found that there is significantly more talk of the aims and/or goals of research in terms of solutions than in terms of truth, knowledge, or understanding. (shrink)

A huge amount of data is being generated everyday through different transactions in industries, social networking, communication systems etc. Big data is a term that represents vast volumes of high speed, complex and variable data that require advanced procedures and technologies to enable the capture, storage, management, and analysis of the data. Big data analysis is the capacity of representing useful information from these large datasets. Due to characteristics like volume, veracity, and velocity, big data analysis is becoming one of (...) the most challenging research problems. Semantic analysis is method to better understand the implied or practical meaning of the input dataset. It is mostly applied with ontology to analyze content mainly in web resources. This field of research combines text analysis and Semantic Web technologies. The use semantic knowledge is to aid sentiment analysis of queries like emotion mining, popularity analysis, recommendation systems, user profiling, etc. A new method has been proposed to extract semantic relationships between different data attributes of big data which can be applied to a decision system. (shrink)

While the empirical evidence pointing to a gender gap in professional, academic philosophy in the English-speaking world is widely accepted, explanations of this gap are less so. In this paper, we aim to make a modest contribution to the literature on the gender gap in academic philosophy by taking a quantitative, corpus-based empirical approach. Since some philosophers have suggested that it may be the argumentative, “logic-chopping,” and “paradox-mongering” nature of academic philosophy that explains the underrepresentation of women in the discipline, (...) our research questions are the following: Do men and women philosophers make different types of arguments in their published works? If so, which ones and with what frequency? Using data mining and text analysis methods, we study a large corpus of philosophical texts mined from the JSTOR database in order to answer these questions empirically. Using indicator words to classify arguments by type, we search through our corpus to find patterns of argumentation. Overall, the results of our empirical study suggest that women philosophers make deductive, inductive, and abductive arguments in their published works just as much as male philosophers do, with no statistically significant differences in the proportions of those arguments relative to each philosopher’s body of work. (shrink)

In light of Taiwan's extensive exposure to the Chinese Communist Party's "cognitive domain infiltration warfare," this paper proposes new response mechanisms and strategies for cybersecurity and national defense. The focus is primarily on assessing the CCP's cognitive infiltration tactics to develop policy recommendations in cybersecurity linguistics. These recommendations are intended to serve as a reference for future national defense and information security policies. Within the constraints of limited resources, this study attempts to provide an integrated analysis method combining qualitative and (...) quantitative tools. This method involves text mining in cybersecurity linguistics, focusing on "textual content" and incorporating discourse deconstruction. The aim is to enhance the success rate in identifying and defining contentious information in cognitive warfare, thereby offering policy suggestions. -/- Keywords: Cognitive Infiltration, Big Data Corpus, Cybersecurity Linguistics, Text Mining Analysis, Narrative Language Deconstruction. (shrink)

This study uncovered the sentiments of Filipino parents on the mandatory Reserve Officers' Training Corps (ROTC) in senior high school. The study employed the qualitative approach using text mining. The data used in this study were the selected 100 Facebook comments of parents on the online news articles posted on Facebook, headlining the mandatory ROTC in senior high school. The orange software was used to determine the most frequently used words in parents' sentiments on the mandatory ROTC in (...) old high school and to analyze the parents’ sentiments. Meanwhile, thematic analysis was utilized to formulate the definitions of parents' sentiments on the issue. The study revealed that the most frequently used words found on the sentiments of parents on the mandatory ROTC in senior high school as generated by Word Cloud in Orange software are ROTC, train, discipline, yes, mandatory, military, good, student, youth, country, and need. The study further revealed that Filipino parents believed that ROTC inculcates values, trains students to prepare for war, and is suitable for the country. They also thought that the Filipino youth needs discipline nowadays, that a highly qualified official should handle ROTC, and that it should be mandatory for all, except for the physically incapable. It was concluded that most Filipino parents favored implementing the compulsory ROTC in senior high school as the benefits that students and the country would derive outweigh the issues or oppositions against the proposed program. (shrink)

This study aimed to unveil the sentiments of college students' feedback on their teacher's teaching performance during online classes. The research utilized a qualitative approach, explicitly employing text mining. Orange software determined the most frequently used words illustrating teachers' teaching performance during online courses. Moreover, Latent Semantic Indexing (LSI) was utilized to reveal how those frequently used words were structured. Meanwhile, the study showed that the words "teacher," "class," "us," "student," "online," "teaching," "happy," "learning," "understand," and "good" were (...) most frequently used in college students' sentiments regarding their teacher's performance during online classes. The study also indicated that most students have positive feedback on their teachers' teaching performance in online courses. Therefore, the findings suggest that teachers have the abilities and knowledge to successfully impart lessons to their students despite the enormous dilemma the pandemic has brought about in every sector, especially in education. (shrink)

Topic modeling—a text‐mining technique often used to uncover thematic structures in large collections of texts—has been increasingly frequently used in the context of the analysis of scholarly output. In this study, we construct a corpus of 19,488 texts published since 1971 in seven leading journals in the field of bioethics and philosophy of medicine, and we use a machine learning algorithm to identify almost 100 topics representing distinct themes of interest in the field. On the basis of intertopic (...) correlations, we group the content‐based topics into eight clusters, thus providing a novel, fine‐grained intellectual map of bioethics and philosophy of medicine. Moreover, we conduct a number of diachronic analyses, examining how the “prominence” of different topics has changed across time. In this way, we are able to observe the distinct patterns in which bioethics and philosophy of medicine have evolved and changed their focus over the past half a century. (shrink)

Digital humanities research has developed haphazardly, with substantive contributions in some disciplines and only superficial uses in others. It has made almost no inroads in philosophy; for example, of the nearly two million articles, chapters, and books housed at philpapers.org, only sixteen pop up when one searches for ‘digital humanities’. In order to make progress in this field, we demonstrate that a hypothesis-driven method, applied by experts in data-collection, -aggregation, -analysis, and -visualization, yields philosophical fruits. “Call no one happy until (...) they are dead.” “De mortuis nil nisi bonum.” These ancient norms still inform how we speak of the dead. From their beginnings in the nineteenth century, modern obituaries have been both practical and honorary. They are written with two aims: to pay respect to the deceased and to inspire the living to follow in their footsteps. The obituary of William Custis of Virginia exemplifies these aims, say that “it is due to his memory publicly to record his virtues,” and that “There is in the life a noble, independent and honest man, something so worthy of imitation, something that so strongly commends itself to the approbation of the virtuous mind, that his name should not be left to oblivion” (Daily National Intelligencer, 18 November 1838). Likewise, philosophers have emphasized that we can determine what counts as a virtue for a given type of person in a given community by analyzing what people say about the dead (Zagzebski, L. Virtues of the Mind. Cambridge University Press, 1996, p. 135). By adhering to norms of praise, admiration, and respect, obituaries reveal what counts as a virtue, value, or constituent of wellbeing (VVC) for a particular type of person in a particular community. -/- One way to explore this insight would be to close-read a small number of obituaries of people from intersecting demographics, crossing dimensions such as gender, age, race, class, educational attainment, veteran status, religion, and location. Another, which we demonstrate in this chapter, is to harness digital humanities resources to distance-read a much larger number of obituaries, extracting both demographic meta-data and first-order content expressive of VVC. We then analyze and visualize this information to establish the structures of VVC associated with different types of people in different communities, arguing that data-science measures such as eigenvector centrality can be used to identify cardinal virtues. We also explain the rudiments of our text- and meta-data mining, our method of aggregating and comparing texts, and our visualization techniques. In so doing, we pave the way for researchers in philosophy and related fields to generate similar analyses and visualizations. (shrink)

Drawing on the epistemology of logic literature on anti-exceptionalism about logic, we set out to investigate the following metaphilosophical questions empirically: Is philosophy special? Are its methods (dis)continuous with science? More specifically, we test the following metaphilosophical hypotheses empirically: philosophical deductivism, philosophical inductivism, and philosophical abductivism. Using indicator words to classify arguments by type (namely, deductive, inductive, and abductive arguments), we searched through a large corpus of philosophical texts mined from the JSTOR database (N = 435,703) to find patterns of (...) argumentation. The results of our quantitative, corpus-based study suggest that deductive arguments are significantly more common than abductive arguments and inductive arguments in philosophical texts overall, but they are gradually and steadily giving way to non-deductive (i.e. inductive and abductive) arguments in academic philosophy. (shrink)

It is a common view among philosophers of science that theoretical virtues (also known as epistemic or cognitive values), such as simplicity and consistency, play an important role in scientific practice. In this article, I set out to study the role that theoretical virtues play in scientific practice empirically. I apply the methods of data science, such as text mining and corpus analysis, to study large corpora of scientific texts in order to uncover patterns of usage. These patterns (...) of usage, in turn, might shed some light on the role that theoretical virtues play in scientific practice. Overall, the results of this empirical study suggest that scientists invoke theoretical virtues explicitly, albeit rather infrequently, when they talk about models (less than 30%), theories (less than 20%), and hypotheses (less than 15%) in their published works. To the extent that they are mentioned in scientific publications, the results of this study suggest that accuracy, consistency, and simplicity are the theoretical virtues that scientists invoke more frequently than the other theoretical virtues tested in this study. Interestingly, however, depending on whether they talk about hypotheses, theories, or models, scientists may invoke one of those theoretical virtues more than the others. (shrink)

Statements about the behavior of biochemical entities (e.g., about the interaction between two proteins) abound in the literature on molecular biology and are increasingly becoming the targets of information extraction and text mining techniques. We show that an accurate analysis of the semantics of such statements reveals a number of ambiguities that have to be taken into account in the practice of biomedical ontology engineering: Such statements can not only be understood as event reporting statements, but also as (...) ascriptions of dispositions or tendencies that may or may not refer to collectives of interacting molecules or even to collectives of interaction events. (shrink)

Formal principles governing best practices in classification and definition have for too long been neglected in the construction of biomedical ontologies, in ways which have important negative consequences for data integration and ontology alignment. We argue that the use of such principles in ontology construction can serve as a valuable tool in error-detection and also in supporting reliable manual curation. We argue also that such principles are a prerequisite for the successful application of advanced data integration techniques such as ontology-based (...) multi-database querying, automated ontology alignment and ontology-based text-mining. These theses are illustrated by means of a case study of the Gene Ontology, a project of increasing importance within the field of biomedical data integration. (shrink)

Until recently, experimental philosophy has been associated with the questionnaire-based study of intuitions; however, experimental philosophers now adapt a wide range of empirical methods for new philosophical purposes. New methods include paradigms for behavioural experiments from across the social sciences as well as computational methods from the digital humanities that can process large bodies of text and evidence. This book offers an accessible overview of these exciting innovations. The volume brings together established and emerging research leaders from several areas (...) of experimental philosophy to explore how new empirical methods can contribute to philosophical debates. Each chapter presents one or several methods new to experimental philosophy, demonstrating their application in a key area of philosophy and discussing their strengths and limitations. Methods covered include eye tracking, virtual reality technology, neuroimaging, statistical learning, and experimental economics as well as corpus linguistics, visualisation techniques and data and text mining. The volume explores their use in moral philosophy and moral psychology, epistemology, philosophy of science, metaphysics, philosophy of language, philosophy of mind and the history of ideas. Methodological Advances in Experimental Philosophy is essential reading for undergraduates, graduate students and researchers working in experimental philosophy. (shrink)

Statements about the behavior of biological entities, e.g. about the interaction between two proteins, abound in the literature on molecular biology and are increasingly becoming the targets of information extraction and text mining techniques. We show that an accurate analysis of the semantics of such statements reveals a number of ambiguities that is necessary to take into account in the practice of biomedical ontology engineering. Several concurring formalizations are proposed. Emphasis is laid on the discussion of biological dispositions.

In a first investigation, a Lacan-motivated template of the Poe story is fitted to the data. A segmentation of the storyline is used in order to map out the diachrony. Based on this, it will be shown how synchronous aspects, potentially related to Lacanian registers, can be sought. This demonstrates the effectiveness of an approach based on a model template of the storyline narrative. In a second and more Comprehensive investigation, we develop an approach for revealing, that is, uncovering, Lacanian (...) register relationships. Objectives of this work include the wide and general application of our methodology. This methodology is strongly based on the “letting the data speak” Correspondence Analysis analytics Platform of Jean-Paul Benzécri, that is also the geometric data analysis, both qualitative and quantitative analytics, developed by Pierre Bourdieu. (shrink)

: One of the most active study fields in natural language processing, web mining, and text mining is sentiment analysis. Big data is an important research component in education that is used to advance the value of education by watching students' performance and understanding their learning habits. Real-time student feedback will enable teachers and students to understand teaching and learning challenges in the most user-friendly manner for students. By linking learning analytics to grounded theory, the proposed Deep (...) Convolutional Neural Network (DCNN) analyses students' sentiments and emotions through feedback using a Lexicon-based emotional analysis approach. The sentiment analysis approach is a computer procedure that identifies and classifies subjective information from the source material as good, negative, or neutral. (shrink)

Driven by the use cases of PubChemRDF and SCAIView, we have developed a first community-based clinical trial ontology (CTO) by following the OBO Foundry principles. CTO uses the Basic Formal Ontology (BFO) as the top level ontology and reuses many terms from existing ontologies. CTO has also defined many clinical trial-specific terms. The general CTO design pattern is based on the PICO framework together with two applications. First, the PubChemRDF use case demonstrates how a drug Gleevec is linked to multiple (...) clinical trials investigating Gleevec’s related chemical compounds. Second, the SCAIView text mining engine shows how the use of CTO terms in its search algorithm can identify publications referring to COVID-19-related clinical trials. Future opportunities and challenges are discussed. (shrink)

The Protein Ontology (PRO; http://purl.obolibrary.org/obo/pr) formally defines and describes taxon-specific and taxon-neutral protein-related entities in three major areas: proteins related by evolution; proteins produced from a given gene; and protein-containing complexes. PRO thus serves as a tool for referencing protein entities at any level of specificity. To enhance this ability, and to facilitate the comparison of such entities described in different resources, we developed a standardized representation of proteoforms using UniProtKB as a sequence reference and PSI-MOD as a post-translational modification (...) reference. We illustrate its use in facilitating an alignment between PRO and Reactome protein entities. We also address issues of scalability, describing our first steps into the use of text mining to identify protein-related entities, the large-scale import of proteoform information from expert curated resources, and our ability to dynamically generate PRO terms. Web views for individual terms are now more informative about closely-related terms, including for example an interactive multiple sequence alignment. Finally, we describe recent improvement in semantic utility, with PRO now represented in OWL and as a SPARQL endpoint. These developments will further support the anticipated growth of PRO and facilitate discoverability of and allow aggregation of data relating to protein entities. (shrink)

The availability of large digital archives of historical newspaper content has transformed the historical sciences. However, the scale of these archives can limit the direct application of advanced text processing methods. Even if it is computationally feasible to apply sophisticated language processing to an entire digital archive, if the material of interest is a small fraction of the archive, the results are unlikely to be useful. Methods for generating smaller specialized corpora from large archives are required to solve this (...) problem. This article presents such a method for historical newspaper archives digitized using the METS/ALTO XML standard (Veridian Software, n.d.). The method is an ‘iterative bootstrapping’ approach in which candidate corpora are evaluated using text mining techniques, items are manually labelled, and Naïve Bayes text classifiers are trained and applied in order to produce new candidate corpora. The method is illustrated by a case study that investigates philosophical content, broadly construed, in pre-1900 English-language New Zealand newspapers. Extensive code is provided in Supplementary Materials. (shrink)

The philosophical literature on scientific explanation in neuroscience has been dominated by the idea of mechanisms. The mechanist philosophers often claim that neuroscience is in the business of finding mechanisms. This view has been challenged in numerous ways by showing that there are other successful and widespread explanatory strategies in neuroscience. However, the empirical evidence for all these claims was hitherto lacking. Empirical evidence about the pervasiveness and uses of various explanatory strategies in neuroscience is particularly needed because examples and (...) case studies that are used to illustrate philosophical claims so far tend to be hand-picked. The risk of confirmation bias is therefore considerable: when looking for white swans, all one finds is that swans are white. The more systematic quantitative and qualitative bibliometric study of a large body of relevant literature that we present in this paper can put such claims into perspective. Using bibliometric tools, we identify the typical linguistic patterns used in the alleged mechanistic, dynamical, and topological explanations in the literature, their preponderance and how they change over time. Our findings show abundant use of mechanistic language, but also the presence of a significant neuroscience literature using topological and dynamical explanatory language, which grows over time and increasingly differentiates from each other and from mechanistic explanations. (shrink)

In this paper, I propose that applying the methods of data science to “the problem of whether mathematical explanations occur within mathematics itself” (Mancosu 2018) might be a fruitful way to shed new light on the problem. By carefully selecting indicator words for explanation and justification, and then systematically searching for these indicators in databases of scholarly works in mathematics, we can get an idea of how mathematicians use these terms in mathematical practice and with what frequency. The results of (...) this empirical study suggest that mathematical explanations do occur in research articles published in mathematics journals, as indicated by the occurrence of explanation indicators. When compared with the use of justification indicators, however, the data suggest that justifications occur much more frequently than explanations in scholarly mathematical practice. The results also suggest that justificatory proofs occur much more frequently than explanatory proofs, thus suggesting that proof may be playing a larger justificatory role than an explanatory role in scholarly mathematical practice. (shrink)

The Korea National Health and Nutrition Examination Survey (2020) reported that the prevalence of obesity (≥19 years old) was 31.4% in 2011, but it increased to 33.8% in 2019 and 38.3% in 2020, which confirmed that it increased rapidly after the outbreak of COVID-19. Obesity increases not only the risk of infection with COVID-19 but also severity and fatality rate after being infected with COVID-19 compared to people with normal weight or underweight. Therefore, identifying the difference in potential factors for (...) obesity before and after the pandemic is an important issue in health science. This study identified the keywords and topics that were formed before and after the COVID-19 pandemic in the South Korean society and how they had been changing by conducting a web crawling of South Korea's news big data using “obesity” as a keyword. (shrink)

The “Treatise on Nomadology: The War Machine" is one of the most important and innovative chapters in Gilles Deleuze and Felix Guattari's book, A Thousand Plateaus. It is a highly original text in political philosophy whose implications have yet to be fully mined—or even partially mined, for that matter. This short text analyzes the "noumenal" status that Deleuze assigns to the nomadic war machine, and analyzes the fundamental role that the nomadology plays in Deleuze and Guattari's political philosophy.

This book first published in the year 2021 June. Paperback: 240 pages Publisher: Kuhn von Verden Verlag. Includes bibliographical references. 1). Philosophy. 2). Metaphysics. 3). Philosophy, German. 4). Philosophy, German -- 19th century. 5). Philosophy, German and Greek Influences Metaphysics. 6). Nihilism (Philosophy). 7). Eternal return. I. Nietzsche, Friedrich Wilhelm, 1844-1900. II. Ferrer, Daniel Fidel, 1952-.[Translation from German into English of Friedrich Nietzsche’s notes of 1881]. New Translation and Notes by Daniel Fidel Ferrer. Many of the notes have never been (...) translated into English before. Go inside the workshop of a great philosopher's mind and read these notes. Table of Contents Introduction and Preface (Pages: 1-11 ) Notebook: 11 = M III 1. Spring - Autumn 1881 11 [1 to 348] (Pages: 12-167 ) Nietzsche’s Notebooks in English: a Translator’s Introduction and Afterward (Pages: 168-183 ) The thought of the eternal return of the same (Pages: 184-197 ) Later Recapitulation note of 1888 14 [188] (Pages: 198-204 ) Rejection of the idea of eternal (Pages: 205 ) Translation of 4 notes by Nietzsche on Perspectivism (Pages: 206-210 ) Nietzsche gets some final few words (Pages: 211-216 ) Bibliographies (Pages: 217-236 ) Project started in summer of 2012. No one else has read this book for errors. As always, any errors, mistakes or oversights etc. are mine alone. Given a couple more years, I could improve this book. This is a philosophical translation and not a philological translation. If you want to get in to more philological details you must learn German (see Nietzschechannel plus many published books on the topics). Translation notes. I have not tried to fix, polish-up, or clarify Nietzsche’s unpublished writings. Some of the translator have really refined Nietzsche’s ideas and positions. I have not “fixed” Nietzsche. I have not dropped or added words or changed the wording to make Nietzsche’s position clearer or stronger (others have done enough damage). Learn German and read the texts in German – my best recommendation and advice to you the reader. There are groups on the internet that work on all the details of translating Nietzsche’s remarks. There are many nuances and shades of the meaning in attempting to translate anyone’s language. Some words I could not translate from German and French; and I left those few words in German, but more words in French. I think most of the French texts are quotes that Nietzsche wrote down from French authors that he was reading at the time he wrote these notes. Reader beware. There are many historical and philosophical allusions as in all of Nietzsche’s philosophical writings and these notebooks are similar. Remember these are “notebooks” and include lots of notes or jottings -- and these are neither fragments nor polished drafts for publication. Nietzsche may have written these notebooks from back to front and re-used various notebooks at a later time. In the German text there are missing punctuations marks, missing quotation marks, missing words, abbreviation of words, miss numbered section, working table of contents for project books he wanted to publish, projects outlined, quotes without quote marks. Enjoy reading and thinking with Nietzsche in his unpublished notes. (shrink)

This book’s goal is to give an intellectual context for the following manuscript. -/- Includes bibliographical references and an index. Pages 1-123. 1). Philosophy. 2). Metaphysics. 3). Philosophy, German. 4). Philosophy, German -- 18th century. 5). Philosophy, German and Greek Influences Metaphysics. I. Hegel, Georg Wilhelm Friedrich -- 1770-1831 -- Das älteste Systemprogramm des deutschen Idealismus. II. Rosenzweig, Franz, -- 1886-1929. III. Schelling, Friedrich Wilhelm Joseph von, -- 1775-1854. IV. Hölderlin, Friedrich, -- 1770-1843. V. Ferrer, Daniel Fidel, 1952-. [Translation from (...) German into English of the-- Das älteste Systemprogramm des deutschen Idealismus.]. -/- Note: the manuscript is in the handwriting of G.W.F. Hegel, but the actual authorship is disputed. No date is given. Franz Rosenzweig made up the title as it is known today. He published the text in 1917. At that time, F. Rosenzweig thought F.W.J. Schelling was the author. No one has read this book for errors. As always, any errors, mistakes or oversights etc. are mine alone. Given a couple more years, I could improve this book. This is a philosophical translation and not a philological translation. Martin Luther who did the famous early translation of the Bible into German wrote in a letter, “If anyone does not like my translation, they can ignore it… (September 15, 1530)”. There are no ‘correct’ translations. Some are just better than other translations. -/- The Oldest Systematic Program of German Idealism. The German title is: Das Älteste Systemprogramm Des Deutschen Idealismus. This title was made up by Franz Rosenzweig in 1917, when he first published the manuscript. He found the manuscript in the Royal Library in Berlin in 1913. The manuscript suggested date is around 1796 and was done by handwriting research. However, the manuscript is not dated. The Prussian State Library auctioned in March 1913 from the auction of the house Liepmannssohn in Berlin a single sheet on the front and back with Hegel's cursive handwriting. The manuscript was lost during WWII. But Dieter Henrich found it again in 1979 in the “Biblioteka Jagiellonska” in Krakow (Poland), where it is today. Address: Jagiellonian Library, Jagiellonian University, al. Mickiewicza 22, 30-059 Cracow, Poland. Later research suggests that manuscript had come from the estate of Hegel’s student Friedrich Christoph Förster (1791-1868). He was one of the editors of Hegel’s posthumous works and most likely had access to a number of Hegel’s manuscripts. This text actually being one of them. Hegel traveled around Bohemia with Marie and Friedrich Christoph Förster around the year 1820-21 (see Klaus Vieweg). -/- Philosophical mystery -- who is the author or authors of this text? -/- Take a plunge into the deep and cold waters. Maybe a quagmire or quandary, but decidedly interesting. This project is to contextualize an old handwritten manuscript which is about 225 years old. The actual author is a mystery. I offer my own assessment. You can make your own assessments. The mystery has continued to unfold since 1917. There is plenty to read. Otherwise, think about the authorship and read more of the German philosophers and authors from this period and enjoy the depth of thinking and philosophizing. On one hand, there is just the sheer fun in the puzzle of the authorship questions; and on the other hand, these are the alluring thoughts that lead to the nascent stage of German Idealism and our intellectual heritage. There is no end to the accolades for this group of philosophers. A heritage that we still hear in in our attempts to move forward into our future. -/- Do your own astute exegesis (ἐξήγησις) as all paths are still open. Let your thought take to the wings of what is called thinking with this text. Critical encounters (Auseinandersetzung, or a Gegenüberstellung) with at least: Friedrich Hölderlin (1770-1843) Friedrich Wilhelm Joseph Schelling (1775-1854), and Georg Wilhelm Friedrich Hegel (1770-1831) --- starts here! German Idealism. We are not going to study this situation endlessly, instead we make some broad strokes and provide you a general context. You are allowed to read between the lines too. Goal: to understand the overall affinity and differences between the intellectuals of this period in German history; and to come to grips with this demanding text within its large scholarly context in the last 100 years. There are no final answers. (shrink)

This paper presents the Spanish translation of the only two texts of Franz Brentano which deal specifically with St. Thomas Aquinas. The first text is a section about St. Albert the Great and Aquinas in an article published during Brentano’s youth, “The History of Ecclesiastical Sciences” (1867). The second text is an article, “Thomas Aquinas” (1908), written at the end of his life. Both texts reveal the immense value that Brentano saw in Aquinas. They also show that he (...) regarded Aquinas mainly as an important interpreter of Aristotle rather than as a philosopher in his own right. Brentano’s approach here also gives us some insight into his own conception of philosophical hermeneutics. The differences between the two texts are evident; for instance, in the second one, there is a Brentano’s manipulation of Aquinas’ thought to justify his leaving the Catholic Faith. The texts are also preceded by a little introduction of mine. Original titles: «Geschichte der kirchlichen Wissenschaften», in: Johann Adam Möhler (ed.), 'Kirchengeschichte', Band 2 (Regensburg: Manz, 1867), pp. 550-556 and «Thomas von Aquin», 'Neue Freie Presse' 15683 (18/4/1908): 1-5. (shrink)

Limits of the Conversation about Forms. Types of Knowledge and Necessity of Forms in Plato's "Parmenides". - Forms (ideas) are among the things that Plato is serious about. But about these things he says in his "Seventh Letter": "There neither is nor ever will be a treatise of mine on the subject." (341c, transl. J. Harward). Plato's statement suggests the question, why one does not and never can do justice to the Platonic forms by means of a written text (...) about the forms. Another big question of Plato research is whether the conversations documented in the Platonic dialogues are also affected by this verdict. This paper aims to provide, as far as possible, newly substantiated answers to these two questions. To this end, the systematic limits of the discussion about forms, which are particularly evident in Plato's dialogue "Parmenides", are examined in eight steps: First, two types of knowledge are presented that play an important systematic role in Plato's philosophy with regard to the limits of conversation: knowledge-how (practical knowledge) and knowledge-that (propositional knowledge) (I). Then the Socratic model of these two types of knowledge is interpreted, which is drafted in the tenth book of the "Republic". This model uses the example of bridle, bridlemaker and rider to explain the primacy of practical knowledge and the limits of propositional knowledge (II). Subsequently, it will be shown how the dialogues "Republic" and "Parmenides" are connected with each other in content and form (III). The gradation of the two types of knowledge, which is indicated by the motifs of the bridle and the horse on the image level of the "Parmenides", proves to be the structure that systematically underlies the structure of the entire dialogue (IV). It also makes clear why the conversation about the forms in the first part of the "Parmenides" has to fail (V). The assumption that the two parts of the "Parmenides" express two different types of knowledge in dealing with forms is supported by the results of a logical analysis of the last defence of the acceptance of forms (135b-c). This analysis shows why, for reasons of principle, it is impossible to speak adequately about forms (VI). Forms have the function of being presuppositions of 'talking about something'. Thus forms are always presupposed in conversation when one talks about them, and thus elude appropriate discussion in conversation (VII). That this is not only a methodical insight of the Platonic Parmenides, but can also be attributed to Plato himself, is demonstrated by the concluding reinterpretation of the central sentence of the critique of writing in Plato's "Seventh Letter". It will become apparent that, contrary to the now widespread view of the representatives of the Tübingen school, philosophical and also good philological reasons speak for the fact that Plato related his criticism only to the communicability of forms through treatises, i.e. tract-like writings (VIII). (shrink)

The Russian philosopher Nikolai Onufrievich Lossky considered himself a Leibnizian of sorts. He accepted parts of Leibniz’s doctrine of monads, although he preferred to call them ‘substantival agents’ and rejected the thesis that they have neither doors nor windows. In Lossky’s own doctrine, monads have existed since the beginning of time, they are immortal, and can evolve or devolve depending on the goodness or badness of their behavior. Such evolution requires the possibility for monads to reincarnate into the bodies of (...) creatures of a higher level on the scala perfectionis. According to this theory, a monad can evolve by being progressively reincarnated multiple times through a sort of process of metamorphosis from the level of the most elementary particles all the way up to the level of human beings or even higher. Lossky argues that the works of Leibniz contain scattered elements of such a systematic doctrine of reincarnation. He attempts to reconstitute this doctrine in an article that appeared both in Russian and German in 1931. The Russian version, ‘Ученiе Лейбница о перевоплощенiи какъ метаморфозѣ’, was published in the Сборникъ Русскаго института въ Прагѣ, vol. 2, 1931, pp. 77–88. The German version appeared under the title ‘Leibniz’ Lehre von der Reinkarnation als Metamorphose,’ in Archiv für Geschichte der Philosophie, vol. 40, n. 2, 1931, pp. 214–226. The content of the Russian and German versions is roughly the same, except for the omission, in the German version, of a mention of David Hume in the second sentence and of one paragraph and a half at the end of the article. The following is a translation of this article. I translated the text from the Russian version, which was in all appearances written first, but I also took the German version into account. The original pagination is added in angle brackets. Angle brackets are used wherever the additions are mine. — Frédéric Tremblay. (shrink)

Objective: to evaluate CANLPH score and systemic immune inflammation index (SII) in patients with symptomatic rheumatic mitral stenosis (MS) undergoing percutaneous mitral balloon valvuloplasty (PMBV). -/- Methods: 62 patients who underwent PMBV in our clinic between 2018 and 2021 were included retrospectively. The patients were divided into 2 groups according to echo score. The CANLPH score was calculated from the cut-off values of C-reactive protein to albumin ratio (CAR), neutrophil to lymphocyte ratio (NLR) and platelet to hemoglobin ratio (PHR), determined (...) with the Youden index and SII by the formula platelet x neutrophil/lymphocyte. P <0.05 was considered statistically significant. -/- Results: The mean age of the patients was 44.5±10.4 years (40 female, 64.5%). The mean values of SII and CANLPH scores were higher in the Echo score >8 group (p <0.001, both). The mean mitral gradient before and after PMBV was 12.6±5.7mm Hg and 5.0±2.4 mm Hg, and the mean valve area was 1.12±0.27 cm2 and 1.85±0.29 cm2. A statistically significant and negative correlation was observed between the gradient decrease after the procedure and the CANLPH score and SII (r=-0.426, p=0.001 and r=-0.418, p=0.001, respectively). In receiver operating characteristic (ROC) curve analysis, it was concluded that the ability of CANPLH score to predict the higher Echo scores was noninferior to SII with an area under curve (AUC:0.820 (0.701-0.906) and AUC:0.786 (0.664-0.880), z statistics 0.576 and p=0.564. -/- Conclusion: SII and CANLPH scores are correlated with Echo score. A significant negative relationship was found with both biomarkers and gradient decrease after the PMBV. (shrink)

Data mining possess a significant threat to ethics, privacy, and legality, especially when we consider the fact that data mining makes it difficult for an individual or consumer (in the case of a company) to control accessibility and usage of his data. Individuals should be able to control how his/ her data in the data warehouse is being access and utilize while at the same time providing enabling environment which enforces legality, privacy and ethicality on data scientists, or (...) data engineer during data mining process. This paper review issues of legality, privacy, and ethicality in data mining, review processes of Data mining, and also proposes solution to current ethical and privacy issue in data mining. It introduces a new method which enforces data mining without infringing on the privacy of individual or consumer whose data are being used. The sole aim of this paper is to propose a new method of mining data which restricts scientists within the constraints of legality, privacy, and ethicality. (shrink)

In this paper we focus on what is referred to as the ‘mineness’ of experience, that is, the intimate familiarity we have with our own thoughts, perceptions, and emotions. Most accounts characterize mineness in terms of an experiential dimension, the first-person givenness of experience, that is subsumed under the notion of minimal self-consciousness or a ‘minimal self’. We argue that this account faces problems and develop an alternative account of mineness in terms of the coherence of experiences with what we (...) label an ‘embodied biography’. Building on a near consensus among consciousness researchers over the function of consciousness as integrating infor- mation, we argue that the phenomenology of mineness consists in the absence of any further thought on top of the experience itself. Finally we argue that this non-phenomenological account of mineness fits well with existing data on pathologies of mineness such as delusions of thought insertion. (shrink)

Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different machine learning algorithm, (...) and finally using different validation and cross-validation methods to compare and validate our results. We build, train, test and deploy our model by restful API services which can be called through an endpoint, and with very high accuracy and huge success. (shrink)

Ever since the era of internet had ushered in cloud computing, there had been increase in the demand for the unlimited data available through cloud computing for data analysis, pattern recognition and technology advancement. With this also bring the problem of scalability, efficiency and security threat. This research paper focuses on how data can be dynamically mine in real time for pattern detection in a secure cloud computing environment using combination of decision tree algorithm and Random Forest over a restful (...) Application Programming Interface (API). We are able to successfully Implement data mining on cloud computing bypassing or avoiding direct interaction with data warehouse and without any terminal involve by using combination of IBM Cloud storage facility, Amazing Web Service, Application Programming Interface and Window service along with a decision tree and Random Forest algorithm for our classifier. We were able to successfully bypass direct connection with the data warehouse and cloud terminal with 94% accuracy in our model. (shrink)

Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different machine learning algorithm, (...) and finally using different validation and cross-validation methods to compare and validate our results. We build, train, test and deploy our model by restful API services which can be called through an endpoint, and with very high accuracy and huge success. (shrink)

Big Data is a large-sized and complex dataset, which cannot be managed using traditional data processing tools. Mining process of big data is the ability to extract valuable information from these large datasets. Association rule mining is a type of data mining process, which is indented to determine interesting associations between items and to establish a set of association rules whose support is greater than a specific threshold. The classical association rules can only be extracted from binary (...) data where an item exists in a transaction, but it fails to deal effectively with quantitative attributes, through decreasing the quality of generated association rules due to sharp boundary problems. In order to overcome the drawbacks of classical association rule mining, we propose in this research a new neutrosophic association rule algorithm. The algorithm uses a new approach for generating association rules by dealing with membership, indeterminacy, and non-membership functions of items, conducting to an efficient decision-making system by considering all vague association rules. To prove the validity of the method, we compare the fuzzy mining and the neutrosophic mining. The results show that the proposed approach increases the number of generated association rules. (shrink)

Patients suffering from depersonalization complain of feeling detached from their body, their mental states, and actions or even from themselves. In this chapter, I argue that depersonalization consists in the lack of a phenomenal feature that marks my experiences as mine, which is usually called “mineness,” and that the study of depersonalization constitutes a neglected yet incomparable probe to assess empirically the scope, role, and even the nature of mineness. Here is how I will proceed. After describing depersonalization (§2) and (...) arguing that it involves a lack of mineness (§3) I will confront a series of objections (§4). I will then spell out what depersonalization can teach us about the scope of mineness (§5), about its role and psychological function (§6) and even about its nature (§7). (shrink)

What does it take for a subject to experience a personal memory as being her own? According to Fernández’ (2019) model of endorsement, this particular phenomenal quality of our memories, their “sense of mineness”, can be explained in terms of the experience of the mnemonic content as veridical. In this article, I criticize this model for two reasons: (a) the evidence that is used by Fernández to ground his theoretical proposal is dubious; and more importantly, (b) the endorsement model does (...) not accommodate many non-pathological everyday memories that preserve their sense of mineness, but whose veridicality is explicitly denied, suspected, not automatically endorsed, or neither denied nor endorsed. Finally, I sketch two alternative explanations: one also problematic, the other one more promising, and present some normative advantages of the latter. This also displays the undesirability of the endorsement model from a normative perspective. (shrink)

In recent years, neuroscience has begun to transform itself into a “big data” enterprise with the importation of computational and statistical techniques from machine learning and informatics. In addition to their translational applications such as brain-computer interfaces and early diagnosis of neuropathology, these tools promise to advance new solutions to longstanding theoretical quandaries. Here I critically assess whether these promises will pay off, focusing on the application of multivariate pattern analysis (MVPA) to the problem of reverse inference. I argue that (...) MVPA does not inherently provide a new answer to classical worries about reverse inference, and that the method faces pervasive interpretive problems of its own. Further, the epistemic setting of MVPA and other decoding methods contributes to a potentially worrisome shift towards prediction and away from explanation in fundamental neuroscience. (shrink)

"Data mining is not an invasion of privacy because access to data is only by machines, not by people": this is the argument that is investigated here. The current importance of this problem is developed in a case study of data mining in the USA for counterterrorism and other surveillance purposes. After a clarification of the relevant nature of privacy, it is argued that access by machines cannot warrant the access to further information, since the analysis will have (...) to be made either by humans or by machines that understand. It concludes that the current data mining violates the right to privacy and should be subject to the standard legal constraints for access to private information by people. (shrink)