{"title":"“意见”句和“事实”句在顾客评论情感分析中的有效性研究","authors":"Yuya Sawakoshi, M. Okada, Kiyota Hashimoto","doi":"10.1109/CCATS.2015.33","DOIUrl":null,"url":null,"abstract":"Recently, a customer review of travel information website has been a big influence on users in accommodations by the spread of the internet. In our research, as preprocessing of picking out information from the reviews, we propose a method to classify sentences into \"Opinion sentences\" and \"Fact sentences\" using SVM. And we confirm effectiveness of \"opinion sentences\" to estimate values by classification reviews into Positive and Negative using SVM.","PeriodicalId":433684,"journal":{"name":"2015 International Conference on Computer Application Technologies","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"An Investigation of Effectiveness of \\\"Opinion\\\" and \\\"Fact\\\" Sentences for Sentiment Analysis of Customer Reviews\",\"authors\":\"Yuya Sawakoshi, M. Okada, Kiyota Hashimoto\",\"doi\":\"10.1109/CCATS.2015.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, a customer review of travel information website has been a big influence on users in accommodations by the spread of the internet. In our research, as preprocessing of picking out information from the reviews, we propose a method to classify sentences into \\\"Opinion sentences\\\" and \\\"Fact sentences\\\" using SVM. And we confirm effectiveness of \\\"opinion sentences\\\" to estimate values by classification reviews into Positive and Negative using SVM.\",\"PeriodicalId\":433684,\"journal\":{\"name\":\"2015 International Conference on Computer Application Technologies\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Computer Application Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCATS.2015.33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Computer Application Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCATS.2015.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Investigation of Effectiveness of "Opinion" and "Fact" Sentences for Sentiment Analysis of Customer Reviews
Recently, a customer review of travel information website has been a big influence on users in accommodations by the spread of the internet. In our research, as preprocessing of picking out information from the reviews, we propose a method to classify sentences into "Opinion sentences" and "Fact sentences" using SVM. And we confirm effectiveness of "opinion sentences" to estimate values by classification reviews into Positive and Negative using SVM.
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