Fabrício Benevenuto, Matheus Araújo, Filipe Nunes Ribeiro
{"title":"Sentiment Analysis Methods for Social Media","authors":"Fabrício Benevenuto, Matheus Araújo, Filipe Nunes Ribeiro","doi":"10.1145/2820426.2820642","DOIUrl":null,"url":null,"abstract":"Sentiment Analysis became an important topic in the Web recently, especially regarding to Online Social Networks. Many applications are monitoring products and brands, and even important social events like political campaigns. A large number of Sentiment Analysis methods and techniques were proposed in the literature. This short course offers an introduction to explore this theme. First, we present an overview about sentiment analysis and it's popular applications. Next, we discuss main methods from literature. Finally, we compare these methods with each other highlighting advantages and limitations.","PeriodicalId":224319,"journal":{"name":"Proceedings of the 21st Brazilian Symposium on Multimedia and the Web","volume":"174 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st Brazilian Symposium on Multimedia and the Web","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2820426.2820642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Sentiment Analysis became an important topic in the Web recently, especially regarding to Online Social Networks. Many applications are monitoring products and brands, and even important social events like political campaigns. A large number of Sentiment Analysis methods and techniques were proposed in the literature. This short course offers an introduction to explore this theme. First, we present an overview about sentiment analysis and it's popular applications. Next, we discuss main methods from literature. Finally, we compare these methods with each other highlighting advantages and limitations.