{"title":"利用主题信息顺序对游客评论进行分类的有效性研究","authors":"Shogo Nakamura, M. Okada, Kiyota Hashimoto","doi":"10.1109/CCATS.2015.32","DOIUrl":null,"url":null,"abstract":"The Sentiment analysis targeted customer reviews is an active research field in recent years. Customer reviews contain various topics that closely related to interest of reviewer and situation of utilization. Using this relation, it will be possible to show readers information that fits in interest of them. We collected customer reviews from a tourism information web site, estimate topics in the customer reviews by applying LDA and estimate that customer reviews was whether positive or negative.","PeriodicalId":433684,"journal":{"name":"2015 International Conference on Computer Application Technologies","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An Investigation of Effectiveness Using Topic Information Order to Classify Tourists Reviews\",\"authors\":\"Shogo Nakamura, M. Okada, Kiyota Hashimoto\",\"doi\":\"10.1109/CCATS.2015.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Sentiment analysis targeted customer reviews is an active research field in recent years. Customer reviews contain various topics that closely related to interest of reviewer and situation of utilization. Using this relation, it will be possible to show readers information that fits in interest of them. We collected customer reviews from a tourism information web site, estimate topics in the customer reviews by applying LDA and estimate that customer reviews was whether positive or negative.\",\"PeriodicalId\":433684,\"journal\":{\"name\":\"2015 International Conference on Computer Application Technologies\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Computer Application Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCATS.2015.32\",\"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.2015.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Investigation of Effectiveness Using Topic Information Order to Classify Tourists Reviews
The Sentiment analysis targeted customer reviews is an active research field in recent years. Customer reviews contain various topics that closely related to interest of reviewer and situation of utilization. Using this relation, it will be possible to show readers information that fits in interest of them. We collected customer reviews from a tourism information web site, estimate topics in the customer reviews by applying LDA and estimate that customer reviews was whether positive or negative.
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