Abstract
The computer's processing of emotion mimics the human brain's processing of emotional language. The study of linguistic emotion processing is of great significance to the research of affective neuroscience and language understanding. In this study, we compared emotional character, words, and sentences in alphabetic languages and Chinese (logographic language) through literature review and described the possible P1/N1 components of early Chinese emotional characters through neural processing of early Chinese characters. Through literature survey, we found that like alphabetic languages, Chinese emotional words (negative and positive) also evoked greater EPN/LPC effect to emotion words than neutral words under different experimental tasks. This suggests that the human brain has the same emotional cognitive processing mechanism for alphabetic language and logographic language. The emotional event-related potential of Chinese characters, words, and sentences is conducive to further empower computers to understand and generate emotional expressions of text as human brains do.
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