{"title":"基于副词的中文评论意见挖掘改进算法","authors":"Lihong Dong, Weina Wang, Xiangyang She","doi":"10.1109/ICSESS.2016.7883051","DOIUrl":null,"url":null,"abstract":"The existing opinion mining method based on adverbs about Chinese comments has lower precision rate and recall rate. For this problem, this paper redefined the narrow opinion word, and proposed an improved algorithm of Chinese comments opinion mining based on adverbs: In the extraction process of the feature words and opinion words based on adverbs increased conjunctions and negative words judgment; Then using the Extended Version of Synonymy Thesaurus of information retrieval lab in university of Harbin technology to merge synonyms. And obtaining the final feature words and opinion words. Experiments proved the method in this paper is better than the existing method. In opinion words extraction work the recall rate increased by 10.45%, the precision rate increased by 5.11%, the value of F increased by 0.08. In feature words extraction work the recall rate increased by 6.61%, the precision rate increased by 1.73%, the value of F increased by 0.04; In synonyms merger work the recall rate increased by 19.08%, the precision rate increased by 21.96%, the value of F increased by 0.09.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An improved algorithm of Chinese comments opinion mining based on adverbs\",\"authors\":\"Lihong Dong, Weina Wang, Xiangyang She\",\"doi\":\"10.1109/ICSESS.2016.7883051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The existing opinion mining method based on adverbs about Chinese comments has lower precision rate and recall rate. For this problem, this paper redefined the narrow opinion word, and proposed an improved algorithm of Chinese comments opinion mining based on adverbs: In the extraction process of the feature words and opinion words based on adverbs increased conjunctions and negative words judgment; Then using the Extended Version of Synonymy Thesaurus of information retrieval lab in university of Harbin technology to merge synonyms. And obtaining the final feature words and opinion words. Experiments proved the method in this paper is better than the existing method. In opinion words extraction work the recall rate increased by 10.45%, the precision rate increased by 5.11%, the value of F increased by 0.08. In feature words extraction work the recall rate increased by 6.61%, the precision rate increased by 1.73%, the value of F increased by 0.04; In synonyms merger work the recall rate increased by 19.08%, the precision rate increased by 21.96%, the value of F increased by 0.09.\",\"PeriodicalId\":175933,\"journal\":{\"name\":\"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2016.7883051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2016.7883051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved algorithm of Chinese comments opinion mining based on adverbs
The existing opinion mining method based on adverbs about Chinese comments has lower precision rate and recall rate. For this problem, this paper redefined the narrow opinion word, and proposed an improved algorithm of Chinese comments opinion mining based on adverbs: In the extraction process of the feature words and opinion words based on adverbs increased conjunctions and negative words judgment; Then using the Extended Version of Synonymy Thesaurus of information retrieval lab in university of Harbin technology to merge synonyms. And obtaining the final feature words and opinion words. Experiments proved the method in this paper is better than the existing method. In opinion words extraction work the recall rate increased by 10.45%, the precision rate increased by 5.11%, the value of F increased by 0.08. In feature words extraction work the recall rate increased by 6.61%, the precision rate increased by 1.73%, the value of F increased by 0.04; In synonyms merger work the recall rate increased by 19.08%, the precision rate increased by 21.96%, the value of F increased by 0.09.
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