{"title":"感情是一种态度,不是一种感觉","authors":"N. Alsadhan, D. Skillicorn","doi":"10.1109/ICDMW51313.2020.00010","DOIUrl":null,"url":null,"abstract":"Sentiment analysis' attempts to measure the strength of the relationship between a person and an object, sometimes a concrete object such as a product and sometimes an abstract object such as a brand. There is considerable confusion about the form of this relationship - it is typically assumed to be a feeling (and so connected to emotions and moods). Here we argue, and demonstrate, that the relationship is better modelled as a cognitive one, and so connected to attitudes. We demonstrate that the more a lexicon avoids mood and emotion words, the greater its prediction accuracy for reviews of Amazon products.","PeriodicalId":426846,"journal":{"name":"2020 International Conference on Data Mining Workshops (ICDMW)","volume":"&NA; 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sentiment is an Attitude not a Feeling\",\"authors\":\"N. Alsadhan, D. Skillicorn\",\"doi\":\"10.1109/ICDMW51313.2020.00010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sentiment analysis' attempts to measure the strength of the relationship between a person and an object, sometimes a concrete object such as a product and sometimes an abstract object such as a brand. There is considerable confusion about the form of this relationship - it is typically assumed to be a feeling (and so connected to emotions and moods). Here we argue, and demonstrate, that the relationship is better modelled as a cognitive one, and so connected to attitudes. We demonstrate that the more a lexicon avoids mood and emotion words, the greater its prediction accuracy for reviews of Amazon products.\",\"PeriodicalId\":426846,\"journal\":{\"name\":\"2020 International Conference on Data Mining Workshops (ICDMW)\",\"volume\":\"&NA; 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Data Mining Workshops (ICDMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDMW51313.2020.00010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Data Mining Workshops (ICDMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMW51313.2020.00010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sentiment analysis' attempts to measure the strength of the relationship between a person and an object, sometimes a concrete object such as a product and sometimes an abstract object such as a brand. There is considerable confusion about the form of this relationship - it is typically assumed to be a feeling (and so connected to emotions and moods). Here we argue, and demonstrate, that the relationship is better modelled as a cognitive one, and so connected to attitudes. We demonstrate that the more a lexicon avoids mood and emotion words, the greater its prediction accuracy for reviews of Amazon products.