Abstract

This paper employs structural topic modeling (STM), a text-mining technique, to describe the academic philosophy landscape in Brazil. Based on a public national database, a corpus consisting of 12,515 abstracts of monographs (theses and dissertations) defended in Philosophy Graduate Programs between 1991 and 2021 was compiled. The final STM model identified 74 meaningful research topics, clustered into 7 thematic categories. This study discusses the prevalence of the most significant topics and categories, their trends across three decades and their (positive or negative) association with the supervisor’s gender. Results show the first empirical evidence that Brazilian philosophical research exhibits a greater focus on philosophers and their works, rather than on specific themes or problems, aligning with common sociological perceptions within the academic community. Moreover, by visualizing the variations in topic prevalence over time, it was possible to track the rise or decline of the major interest categories and topics. Finally, results also show how topics related to male philosophers garner greater attention throughout the corpus and which topics are more or less influenced by gender.