Multilingual Persuasion Detection: Video Games as an Invaluable Data Source for NLP

• URL: http://arxiv.org/abs/2207.04453v1
• Date: Sun, 10 Jul 2022 12:38:02 GMT
• Title: Multilingual Persuasion Detection: Video Games as an Invaluable Data Source for NLP
• Authors: Teemu P\"oyh\"onen, Mika H\"am\"al\"ainen, Khalid Alnajjar
• Abstract summary: We show the viability of this data in building a persuasion detection system using a natural language processing model called BERT. We believe that video games have a lot of unused potential as a datasource for a variety of NLP tasks.
• Score: 0.6123324869194194
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Role-playing games (RPGs) have a considerable amount of text in video game dialogues. Quite often this text is semi-annotated by the game developers. In this paper, we extract a multilingual dataset of persuasive dialogue from several RPGs. We show the viability of this data in building a persuasion detection system using a natural language processing (NLP) model called BERT. We believe that video games have a lot of unused potential as a datasource for a variety of NLP tasks. The code and data described in this paper are available on Zenodo.

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