{"title":"Exploiting expectation maximization algorithm for sentiment analysis of product reviews","authors":"Nilesh M. Shelke, S. Deshpande, V. Thakre","doi":"10.1109/ICICCT.2017.7975226","DOIUrl":null,"url":null,"abstract":"Millions of comments are available on forums, Facebook, Tweeter, YouTube etc. Proper analysis of these huge comments can lead to solve many social, economic, political, business related questions which otherwise are difficult to understand and analyse. Proposed system explores the statistical approach for sentiment analysis of product reviews using expectation maximization algorithm. Systematic mathematical model has been developed for the proposed system.","PeriodicalId":185697,"journal":{"name":"2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCT.2017.7975226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Millions of comments are available on forums, Facebook, Tweeter, YouTube etc. Proper analysis of these huge comments can lead to solve many social, economic, political, business related questions which otherwise are difficult to understand and analyse. Proposed system explores the statistical approach for sentiment analysis of product reviews using expectation maximization algorithm. Systematic mathematical model has been developed for the proposed system.