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  1. Humanistic interpretation and machine learning.Juho Pääkkönen & Petri Ylikoski - 2021 - Synthese 199:1461–1497.
    This paper investigates how unsupervised machine learning methods might make hermeneutic interpretive text analysis more objective in the social sciences. Through a close examination of the uses of topic modeling—a popular unsupervised approach in the social sciences—it argues that the primary way in which unsupervised learning supports interpretation is by allowing interpreters to discover unanticipated information in larger and more diverse corpora and by improving the transparency of the interpretive process. This view highlights that unsupervised modeling does not eliminate the (...)
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  • Understanding the Complexity of Teacher Emotions From Online Forums: A Computational Text Analysis Approach.Zixi Chen, Xiaolin Shi, Wenwen Zhang & Liaojian Qu - 2020 - Frontiers in Psychology 11.
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