{"title":"中文改变国家的词语对情绪影响的加权评估。","authors":"Chia-Yueh Chang, Meng-Ning Tsai, Yao-Ting Sung, Shu-Ling Cho, Hsueh-Chih Chen","doi":"10.1007/s10936-023-09986-9","DOIUrl":null,"url":null,"abstract":"<p><p>Past studies of sentiment analysis have mainly applied algorithms based on vocabulary categories and emotional characteristics to detect the emotionality of text. However, the collocation of state-changing words and emotional vocabulary affects emotions. For example, adverbs of degree strengthen emotions, and negative adverbs reverse emotions. This study investigated the weighted effect of state-changing words on emotion. The research material comprised 73 state-changing words that were collocated with four emotions: happiness, sadness, fear, and anger. A total of 84 participants participated in the vocabulary assessment. The results revealed that state-changing words could be classified into four types: intensifying, weakening, neutralizing, and reversing. In a comparison of the weighting factors among emotions, the weighting effect of the same state-changing word in the positive emotion category was particularly evident. The results could serve as a reference for follow-up studies on detecting emotions in text.</p>","PeriodicalId":47689,"journal":{"name":"Journal of Psycholinguistic Research","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Weighting Assessment of the Effect of Chinese State-Changing Words on Emotions.\",\"authors\":\"Chia-Yueh Chang, Meng-Ning Tsai, Yao-Ting Sung, Shu-Ling Cho, Hsueh-Chih Chen\",\"doi\":\"10.1007/s10936-023-09986-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Past studies of sentiment analysis have mainly applied algorithms based on vocabulary categories and emotional characteristics to detect the emotionality of text. However, the collocation of state-changing words and emotional vocabulary affects emotions. For example, adverbs of degree strengthen emotions, and negative adverbs reverse emotions. This study investigated the weighted effect of state-changing words on emotion. The research material comprised 73 state-changing words that were collocated with four emotions: happiness, sadness, fear, and anger. A total of 84 participants participated in the vocabulary assessment. The results revealed that state-changing words could be classified into four types: intensifying, weakening, neutralizing, and reversing. In a comparison of the weighting factors among emotions, the weighting effect of the same state-changing word in the positive emotion category was particularly evident. The results could serve as a reference for follow-up studies on detecting emotions in text.</p>\",\"PeriodicalId\":47689,\"journal\":{\"name\":\"Journal of Psycholinguistic Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Psycholinguistic Research\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1007/s10936-023-09986-9\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/9/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Psycholinguistic Research","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1007/s10936-023-09986-9","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"LINGUISTICS","Score":null,"Total":0}
Weighting Assessment of the Effect of Chinese State-Changing Words on Emotions.
Past studies of sentiment analysis have mainly applied algorithms based on vocabulary categories and emotional characteristics to detect the emotionality of text. However, the collocation of state-changing words and emotional vocabulary affects emotions. For example, adverbs of degree strengthen emotions, and negative adverbs reverse emotions. This study investigated the weighted effect of state-changing words on emotion. The research material comprised 73 state-changing words that were collocated with four emotions: happiness, sadness, fear, and anger. A total of 84 participants participated in the vocabulary assessment. The results revealed that state-changing words could be classified into four types: intensifying, weakening, neutralizing, and reversing. In a comparison of the weighting factors among emotions, the weighting effect of the same state-changing word in the positive emotion category was particularly evident. The results could serve as a reference for follow-up studies on detecting emotions in text.
期刊介绍:
Journal of Psycholinguistic Research publishes carefully selected papers from the several disciplines engaged in psycholinguistic research, providing a single, recognized medium for communications among linguists, psychologists, biologists, sociologists, and others. The journal covers a broad range of approaches to the study of the communicative process, including: the social and anthropological bases of communication; development of speech and language; semantics (problems in linguistic meaning); and biological foundations. Papers dealing with the psychopathology of language and cognition, and the neuropsychology of language and cognition, are also included.