Psicolinguistic Modeling of Spanish Political Parties from Social Media

Arturo Montejo-Ráez; Manuel Carlos Díaz-Galiano; Luis Navarro-Ardoy; Manuel Tomás González-Fernández

doi:10.20944/preprints202310.1671.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 25 October 2023 / Approved: 25 October 2023 / Online: 25 October 2023 (16:18:11 CEST)

This study applies several natural language processing techniques for characterizing social groups by analyzing published text in social media. The resulting computed values are proposed as features for modeling social groups and measure distances or similarities among them, along further data that could help understanding group behavior according to language usage. In this study, we have analyzed the messages published on Twitter regarding patriotism by the main political parties in Spain. The results show that lexical resources and topic modelling algorithms are useful to model different groups and serve as comparison tools to better understand the topics these groups are talking about.

Social Computing; Topic Modeling; Psicolinguistics; Natural Language; NLP

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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Psicolinguistic Modeling of Spanish Political Parties from Social Media

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