M. Hürlimann, Brian Davis, Keith Cortis, A. Freitas, S. Handschuh, Sergio Fernández
{"title":"A Twitter Sentiment Gold Standard for the Brexit Referendum","authors":"M. Hürlimann, Brian Davis, Keith Cortis, A. Freitas, S. Handschuh, Sergio Fernández","doi":"10.1145/2993318.2993350","DOIUrl":null,"url":null,"abstract":"In this paper, we present a sentiment-annotated Twitter gold standard for the Brexit referendum. The data set consists of 2,000 Twitter messages (\"tweets\") annotated with information about the sentiment expressed, the strength of the sentiment, and context dependence. This is a valuable resource for social media-based opinion mining in the context of political events.","PeriodicalId":177013,"journal":{"name":"Proceedings of the 12th International Conference on Semantic Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th International Conference on Semantic Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2993318.2993350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28
Abstract
In this paper, we present a sentiment-annotated Twitter gold standard for the Brexit referendum. The data set consists of 2,000 Twitter messages ("tweets") annotated with information about the sentiment expressed, the strength of the sentiment, and context dependence. This is a valuable resource for social media-based opinion mining in the context of political events.