{"title":"Tibetan Sentence Sentiment Analysis Based on the Maximum Entropy Model","authors":"Xiaodong Yan, Tao Huang","doi":"10.1109/BWCCA.2015.32","DOIUrl":null,"url":null,"abstract":"In this paper, the Tibetan sentence sentiment analysis is done by learning from the Chinese and English sentiment analysis based on statistical method. We established the Tibetan sentence sentiment analysis system based on the maximum entropy model, and we test this system. Results show that the evaluation parameter is good and it can achieve practicability to some extent.","PeriodicalId":193597,"journal":{"name":"2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BWCCA.2015.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
In this paper, the Tibetan sentence sentiment analysis is done by learning from the Chinese and English sentiment analysis based on statistical method. We established the Tibetan sentence sentiment analysis system based on the maximum entropy model, and we test this system. Results show that the evaluation parameter is good and it can achieve practicability to some extent.