2023 Volume 32 Pages 23-46
Recent studies in the philosophy of science have employed data science methods, which have the potential to overcome the limitations of conventional case study approaches. These limitations include a lack of interest in the typicality of language uses and arbitrary case selection. The digital philosophy of science has implemented text mining and random sampling techniques. This paper aims to address methodological issues in the digital philosophy of science and argue for refining quantitative concept analysis. Specifically, we focus on the various uses of the word explain to demonstrate the effectiveness of this approach. By integrating methodologies from the philosophy of science and contemporary linguistics, we propose an updated approach to the digital philosophy of science.
