Koji Tanaka, Koichi Tsujii, T. Ikoma, Akiyuki Sekiguchi, K. Tsuda
{"title":"基于共现约束和依赖图的酒店评论特征表示提取方法","authors":"Koji Tanaka, Koichi Tsujii, T. Ikoma, Akiyuki Sekiguchi, K. Tsuda","doi":"10.1109/COMPSAC.2017.126","DOIUrl":null,"url":null,"abstract":"Hotel reviews posted on accommodation reservation websites are thought to be valuable information for selecting hotel accommodations and also expected to be used for marketing. Since hotel reviews are various in their expressions, it was necessary to make a thesaurus to obtain useful feature representations. Preparing a thesaurus, however, has problems such that it is laborious and requires occasional revisions. In addition, it is necessary to determine subjects of evaluation in advance and set up synonyms for them. Thus, the analysis of subjects not under consideration becomes difficult. In the present study, we first graphed impression comments using co-occurrence restrictions and dependency structures and then extracted feature representations by clustering the graphs. This enabled us to extract feature representations on evaluation from the impression comments in hotel reviews without setting up subjects of evaluation in advance and a thesaurus.","PeriodicalId":6556,"journal":{"name":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","volume":"52 1","pages":"619-624"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Feature Representation Extraction Method of Hotel Reviews Using Co-occurrence Restriction and Dependency Graph\",\"authors\":\"Koji Tanaka, Koichi Tsujii, T. Ikoma, Akiyuki Sekiguchi, K. Tsuda\",\"doi\":\"10.1109/COMPSAC.2017.126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hotel reviews posted on accommodation reservation websites are thought to be valuable information for selecting hotel accommodations and also expected to be used for marketing. Since hotel reviews are various in their expressions, it was necessary to make a thesaurus to obtain useful feature representations. Preparing a thesaurus, however, has problems such that it is laborious and requires occasional revisions. In addition, it is necessary to determine subjects of evaluation in advance and set up synonyms for them. Thus, the analysis of subjects not under consideration becomes difficult. In the present study, we first graphed impression comments using co-occurrence restrictions and dependency structures and then extracted feature representations by clustering the graphs. This enabled us to extract feature representations on evaluation from the impression comments in hotel reviews without setting up subjects of evaluation in advance and a thesaurus.\",\"PeriodicalId\":6556,\"journal\":{\"name\":\"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)\",\"volume\":\"52 1\",\"pages\":\"619-624\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPSAC.2017.126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC.2017.126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Feature Representation Extraction Method of Hotel Reviews Using Co-occurrence Restriction and Dependency Graph
Hotel reviews posted on accommodation reservation websites are thought to be valuable information for selecting hotel accommodations and also expected to be used for marketing. Since hotel reviews are various in their expressions, it was necessary to make a thesaurus to obtain useful feature representations. Preparing a thesaurus, however, has problems such that it is laborious and requires occasional revisions. In addition, it is necessary to determine subjects of evaluation in advance and set up synonyms for them. Thus, the analysis of subjects not under consideration becomes difficult. In the present study, we first graphed impression comments using co-occurrence restrictions and dependency structures and then extracted feature representations by clustering the graphs. This enabled us to extract feature representations on evaluation from the impression comments in hotel reviews without setting up subjects of evaluation in advance and a thesaurus.