英国脱欧公投的推特情绪黄金标准

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI:10.1145/2993318.2993350

M. Hürlimann, Brian Davis, Keith Cortis, A. Freitas, S. Handschuh, Sergio Fernández

{"title":"英国脱欧公投的推特情绪黄金标准","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":"{\"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}","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

摘要

在本文中，我们为英国脱欧公投提出了一个带有情绪注释的Twitter黄金标准。该数据集由2,000条Twitter消息(“tweets”)组成，并注释了有关所表达的情感、情感强度和上下文依赖性的信息。这是在政治事件背景下基于社交媒体的意见挖掘的宝贵资源。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

A Twitter Sentiment Gold Standard for the Brexit Referendum

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 12th International Conference on Semantic Systems

自引率

0.00%

发文量