{"title":"表达观点:情感分析的困难案例","authors":"Ivan Khozyainov, Evgeny Pyshkin, V. Klyuev","doi":"10.1109/ICAWST.2013.6765439","DOIUrl":null,"url":null,"abstract":"In recent years there is growing interest to the opinion mining applications in numerous areas of information and social science. In this paper we investigate main problems in opinion mining and sentiment analysis systems development. We review examples of difficulties in process of opinion extraction and introduce essential multidimensionality of opinion mining. We carried out a series of experiments with different sentiment analyzers and classified main reasons of incorrect sentiment recognition.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"56 1","pages":"231-237"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Spelling out opinions: Difficult cases of sentiment analysis\",\"authors\":\"Ivan Khozyainov, Evgeny Pyshkin, V. Klyuev\",\"doi\":\"10.1109/ICAWST.2013.6765439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years there is growing interest to the opinion mining applications in numerous areas of information and social science. In this paper we investigate main problems in opinion mining and sentiment analysis systems development. We review examples of difficulties in process of opinion extraction and introduce essential multidimensionality of opinion mining. We carried out a series of experiments with different sentiment analyzers and classified main reasons of incorrect sentiment recognition.\",\"PeriodicalId\":68697,\"journal\":{\"name\":\"炎黄地理\",\"volume\":\"56 1\",\"pages\":\"231-237\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"炎黄地理\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAWST.2013.6765439\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"炎黄地理","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1109/ICAWST.2013.6765439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spelling out opinions: Difficult cases of sentiment analysis
In recent years there is growing interest to the opinion mining applications in numerous areas of information and social science. In this paper we investigate main problems in opinion mining and sentiment analysis systems development. We review examples of difficulties in process of opinion extraction and introduce essential multidimensionality of opinion mining. We carried out a series of experiments with different sentiment analyzers and classified main reasons of incorrect sentiment recognition.