Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
37th (2023)
Session ID : 4L3-GS-4-05
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Emotion Prediction based on Conversational Context and Commonsense Knowledge Graph
*Takumi FUJIMOTOTakayuki ITO
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Abstract

Existing studies on emotion recognition in conversations have generally analyzed and classified emotions based on a speaker's utterances from conversations. On the other hand, little research has predicted emotions without such speaker utterances. In this study, we propose an emotion prediction model that forecasts a speaker's emotion before she makes a statement. Our model utilizes the conversational context and commonsense knowledge graphs. In an evaluation experiment, we rate our proposed model’s performance using an emotion recognition dataset in conversations.

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© 2023 The Japanese Society for Artificial Intelligence
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