{"title":"SentiFul:为情感分析生成可靠的词汇","authors":"Alena Neviarouskaya, H. Prendinger, M. Ishizuka","doi":"10.1109/ACII.2009.5349575","DOIUrl":null,"url":null,"abstract":"The main drawback of any lexicon-based sentiment analysis system is the lack of scalability. Thus, in this paper, we will describe methods to automatically generate and score a new sentiment lexicon, called SentiFul, and expand it through direct synonymy relations and morphologic modifications with known lexical units. We propose to distinguish four types of affixes (used to derive new words) depending on the role they play with regard to sentiment features: propagating, reversing, intensifying, and weakening.","PeriodicalId":330737,"journal":{"name":"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops","volume":"225 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"85","resultStr":"{\"title\":\"SentiFul: Generating a reliable lexicon for sentiment analysis\",\"authors\":\"Alena Neviarouskaya, H. Prendinger, M. Ishizuka\",\"doi\":\"10.1109/ACII.2009.5349575\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main drawback of any lexicon-based sentiment analysis system is the lack of scalability. Thus, in this paper, we will describe methods to automatically generate and score a new sentiment lexicon, called SentiFul, and expand it through direct synonymy relations and morphologic modifications with known lexical units. We propose to distinguish four types of affixes (used to derive new words) depending on the role they play with regard to sentiment features: propagating, reversing, intensifying, and weakening.\",\"PeriodicalId\":330737,\"journal\":{\"name\":\"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops\",\"volume\":\"225 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"85\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACII.2009.5349575\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACII.2009.5349575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SentiFul: Generating a reliable lexicon for sentiment analysis
The main drawback of any lexicon-based sentiment analysis system is the lack of scalability. Thus, in this paper, we will describe methods to automatically generate and score a new sentiment lexicon, called SentiFul, and expand it through direct synonymy relations and morphologic modifications with known lexical units. We propose to distinguish four types of affixes (used to derive new words) depending on the role they play with regard to sentiment features: propagating, reversing, intensifying, and weakening.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
