Category Archives: Text mining

Analytic and Continental Philosophy: playing around with quantitative methods

Posted on December 14, 2020 by DR2 Turin Group

by Pietro Lana   What can quantitative methods tell us about the differences between the Analytic and the Continental philosophical traditions? Attempts to define, characterize and distinguish the two have led to such a variety of positions that even the … Continue reading →

Posted in Data-Driven Research, Digital Humanities, Distant Reading, History of analytic philosophy, History of philosophy, Quantitative methods, Text mining, Text-Mining | 1 Comment

Considerations about corpus-dependency of topic modelling with Mallet

Posted on November 30, 2020 by DR2 Turin Group

By Sara Garzone and Nicola Ruschena In the context of text mining, topic modelling analyses co-occurrence patterns among textual data, in order to isolate clusters from the set of expressions occurring in a corpus. Topic modelling aims at extracting topics … Continue reading →

Posted in Data-Driven Research, Text mining | 2 Comments

Interesting tutorials @Programming Historian

Posted on June 29, 2020 by DR2 Turin Group

Following the posts of the past few weeks, today we present an interesting website – and peer-reviewed journal – on the same wake. That is Programming Historian, a useful, multilingual and open access collection of tutorials about computational tecniques for … Continue reading →

Posted in Digital Humanities, Distant Reading, History of ideas, Methodology, Quantitative methods, Text mining, Text-Mining, Tutorials | Tagged | Comments Off on Interesting tutorials @Programming Historian