{"title":"基于层次话语结构的评论情感分析","authors":"Fei Wang, Yunfang Wu","doi":"10.1109/IALP.2013.42","DOIUrl":null,"url":null,"abstract":"The overall sentiment of a text is critically affected by its discourse structure. For the first time, this paper incorporates hierarchical discourse structure into an unsupervised sentiment analysis framework. Experimental results show that by integrating discourse structure, the performance of sentiment analysis is improved by 1.9% (from 85.1% to 87.0%), demonstrating the effectiveness of exploiting discourse structure for sentiment analysis.","PeriodicalId":413833,"journal":{"name":"2013 International Conference on Asian Language Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Exploiting Hierarchical Discourse Structure for Review Sentiment Analysis\",\"authors\":\"Fei Wang, Yunfang Wu\",\"doi\":\"10.1109/IALP.2013.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The overall sentiment of a text is critically affected by its discourse structure. For the first time, this paper incorporates hierarchical discourse structure into an unsupervised sentiment analysis framework. Experimental results show that by integrating discourse structure, the performance of sentiment analysis is improved by 1.9% (from 85.1% to 87.0%), demonstrating the effectiveness of exploiting discourse structure for sentiment analysis.\",\"PeriodicalId\":413833,\"journal\":{\"name\":\"2013 International Conference on Asian Language Processing\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Asian Language Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IALP.2013.42\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Asian Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IALP.2013.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploiting Hierarchical Discourse Structure for Review Sentiment Analysis
The overall sentiment of a text is critically affected by its discourse structure. For the first time, this paper incorporates hierarchical discourse structure into an unsupervised sentiment analysis framework. Experimental results show that by integrating discourse structure, the performance of sentiment analysis is improved by 1.9% (from 85.1% to 87.0%), demonstrating the effectiveness of exploiting discourse structure for sentiment analysis.