Wilson, Steven and Mihalcea, Rada and Boyd, Ryan and Pennebaker, James W. (2016) Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words. In: Proceedings of 2016 EMNLP : Workshop on Natural Language Processing and Computational Social Science. Association for Computational Linguistics, pp. 143-152. ISBN 9781945626258
Full text not available from this repository.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.