English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

MITAO: A User Friendly and Modular Software for Topic Modelling