{"title":"越南人的情绪分析","authors":"Binh Thanh Kieu, S. Pham","doi":"10.1109/KSE.2010.33","DOIUrl":null,"url":null,"abstract":"Sentiment analysis is one of the most important tasks in Natural Language Processing. Research in sentiment analysis for Vietnamese is relatively new and most of current work only focus in document level. In this paper, we address this problem at the sentence level and build a rule-based system using the Gate framework. Experimental results on a corpus of computer products reviews are very promising. To the best of our knowledge, this is the first work that analyzes sentiment at sentence level in Vietnamese.","PeriodicalId":158823,"journal":{"name":"2010 Second International Conference on Knowledge and Systems Engineering","volume":"370 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":"{\"title\":\"Sentiment Analysis for Vietnamese\",\"authors\":\"Binh Thanh Kieu, S. Pham\",\"doi\":\"10.1109/KSE.2010.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sentiment analysis is one of the most important tasks in Natural Language Processing. Research in sentiment analysis for Vietnamese is relatively new and most of current work only focus in document level. In this paper, we address this problem at the sentence level and build a rule-based system using the Gate framework. Experimental results on a corpus of computer products reviews are very promising. To the best of our knowledge, this is the first work that analyzes sentiment at sentence level in Vietnamese.\",\"PeriodicalId\":158823,\"journal\":{\"name\":\"2010 Second International Conference on Knowledge and Systems Engineering\",\"volume\":\"370 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"45\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Knowledge and Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KSE.2010.33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Knowledge and Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KSE.2010.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sentiment analysis is one of the most important tasks in Natural Language Processing. Research in sentiment analysis for Vietnamese is relatively new and most of current work only focus in document level. In this paper, we address this problem at the sentence level and build a rule-based system using the Gate framework. Experimental results on a corpus of computer products reviews are very promising. To the best of our knowledge, this is the first work that analyzes sentiment at sentence level in Vietnamese.
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