MITAO: A User Friendly and Modular Software for Topic Modelling

Authors

  • Paolo Ferri University of Bologna
  • Ivan Heibi University of Bologna
  • Luca Pareschi Tor Vergata University of Rome
  • Silvio Peroni University of Bologna

DOI:

https://doi.org/10.19245/25.05.pij.5.2.3

Keywords:

text analysis, discourse analysis, topics, frames, discourse, themes, topic modelling, visualization, MITAO, Python

Abstract

Texts are among the most relevant data sources for social scientists, and traditionally researchers adopt qualitative methods for dealing with them. Yet, new computer aided techniques offer promising methodological avenues for scholars, which can now deal with big corpora of texts. One of the techniques that recently gained more relevance is Topic Modelling, which permits extracting bag of words which co-occur often in texts. While Topic Modelling was fruitfully used in sociology and management, existing software for performing it requires coding skills, and are not user friendly. In this paper we present MITAO, a new graphic-based, user friendly, open source software for performing topic modelling and other analysis on textual data.

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Published

2020-10-24

How to Cite

Ferri, P., Heibi, I., Pareschi, L., & Peroni, S. (2020). MITAO: A User Friendly and Modular Software for Topic Modelling. PuntOorg International Journal, 5(2), 135-149. https://doi.org/10.19245/25.05.pij.5.2.3