{"title":"日语情境依赖型情绪极性词典","authors":"A. Takada, Yoshinobu Kano, T. Yamasaki","doi":"10.1145/3512730.3533716","DOIUrl":null,"url":null,"abstract":"In order to deal with the variety of meanings and contexts of words, we created a Japanese Situation-dependent Sentiment Polarity Dictionary (SiSP) of sentiment values labeled for 20 different situations. This dictionary was annotated by crowdworkers with 25,520 Japanese words, and consists of 10 responses for each situation of each word. Using our SiSP, we predicted the polarity of each word in the dictionary and that of dictionary words in sentences considering the context. In both experiments, situation-dependent prediction showed superior results in determining emotional polarity.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":"60 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SiSP: Japanese Situation-dependent Sentiment Polarity Dictionary\",\"authors\":\"A. Takada, Yoshinobu Kano, T. Yamasaki\",\"doi\":\"10.1145/3512730.3533716\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to deal with the variety of meanings and contexts of words, we created a Japanese Situation-dependent Sentiment Polarity Dictionary (SiSP) of sentiment values labeled for 20 different situations. This dictionary was annotated by crowdworkers with 25,520 Japanese words, and consists of 10 responses for each situation of each word. Using our SiSP, we predicted the polarity of each word in the dictionary and that of dictionary words in sentences considering the context. In both experiments, situation-dependent prediction showed superior results in determining emotional polarity.\",\"PeriodicalId\":43265,\"journal\":{\"name\":\"International Journal of Mobile Computing and Multimedia Communications\",\"volume\":\"60 1\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2022-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mobile Computing and Multimedia Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3512730.3533716\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mobile Computing and Multimedia Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3512730.3533716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
SiSP: Japanese Situation-dependent Sentiment Polarity Dictionary
In order to deal with the variety of meanings and contexts of words, we created a Japanese Situation-dependent Sentiment Polarity Dictionary (SiSP) of sentiment values labeled for 20 different situations. This dictionary was annotated by crowdworkers with 25,520 Japanese words, and consists of 10 responses for each situation of each word. Using our SiSP, we predicted the polarity of each word in the dictionary and that of dictionary words in sentences considering the context. In both experiments, situation-dependent prediction showed superior results in determining emotional polarity.