ISSN : 2663-2187

Cross-cultural educational psychological text analysis and emotion recognition based on natural language processing

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Qing Yu, Xue Wang
» doi: 10.48047/AFJBS.6.Si4.2024.1999-2007

Abstract

In today's increasingly diverse and connected world, understanding different cultures and emotions has become more important than ever. This is where the intersection of cross-cultural education, psychological text analysis, emotion recognition, and natural language processing takes center stage. By merging these disciplines, we can delve deeper into the science of understanding. Psychological text analysis is the process of examining written or spoken language to gain insights into the psychological states, emotions, personality traits, attitudes, and behaviors of individuals. It involves using linguistic and psychological theories to decode and interpret the underlying psychological aspects of the text. Finally, some possible moderators of the motivationemotion model including power and emotion recognition accuracy are suggested to promote sustainable practices in cross-cultural negotiation. Therefore, through this study, it is found that the application of NLP technology in the legal AI retrieval system has a reliable accuracy, which meets the expectation of this paper.

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