{"title":"Extraction of polarity comments from Nico Nico Douga","authors":"Hiroki Sakaji, Junya Ishibuchi, Hiroyuki Sakai","doi":"10.1504/IJSSC.2016.080283","DOIUrl":null,"url":null,"abstract":"In this paper, we propose two methods that extract polarity comments from Nico Nico Douga and analyse errors in these methods. For example, a positive comment is 'iine: good' and a negative comment is 'hetakuso: unskilled'. Online videos have become indispensable to people, with millions watching videos on video websites. Moreover, demand of video sites is increasing because internet election campaigns started in April 2013. We consider that polarity comments are useful for the analysis of internet election campaigns. Our methods achieved 99% and 65% precision for extracting positive and negative comments, respectively.","PeriodicalId":43931,"journal":{"name":"International Journal of Space-Based and Situated Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Space-Based and Situated Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJSSC.2016.080283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, we propose two methods that extract polarity comments from Nico Nico Douga and analyse errors in these methods. For example, a positive comment is 'iine: good' and a negative comment is 'hetakuso: unskilled'. Online videos have become indispensable to people, with millions watching videos on video websites. Moreover, demand of video sites is increasing because internet election campaigns started in April 2013. We consider that polarity comments are useful for the analysis of internet election campaigns. Our methods achieved 99% and 65% precision for extracting positive and negative comments, respectively.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
