Home > Research > Publications & Outputs > Disentangling Topic Models: A Cross-cultural An...

Links

View graph of relations

Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
  • Steven Wilson
  • Rada Mihalcea
  • Ryan Boyd
  • James W. Pennebaker
Close
Publication date1/11/2016
Host publicationProceedings of 2016 EMNLP: Workshop on Natural Language Processing and Computational Social Science
PublisherAssociation for Computational Linguistics
Pages143-152
Number of pages10
ISBN (print)9781945626258
<mark>Original language</mark>English

Abstract

We present a methodology based on topic modeling that can be used to identify and quantify sociolinguistic differences between groups of people, and describe a regression method that can disentangle the influences of different attributes of the people in the group (e.g., culture, gender, age). As an example, we explore the concept of personal values, and present a cross-cultural analysis of value-behavior relationships spanning writers from the United States and India.