Dataset: tweets and analyses related to the paper 'The (Un)Predictability of Emotional Hashtags in Twitter'
收藏DANS Data Station Social Sciences and Humanities2017-01-01 更新2026-05-11 收录
下载链接：
https://ssh.datastations.nl/citation?persistentId=doi:10.17026/dans-zs9-fj3t
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资源简介：
This dataset features all the tweetids and labels that were used to model the language of 24 hashtags, and test the performance on predicting the hashtags in unseen tweets. This study is described in:Kunneman, F.A., Liebrecht, C.C. & Bosch, A.P.J. van den (2014). The (Un)Predictability of Emotional Hashtags in Twitter. In Proceedings of the 5th Workshop on Language Analysis for Social Media (LASM) @ EACL 2014 (pp. 26-34). s.l.: Association for Computational Linguistics, http://hdl.handle.net/2066/127067In addition to the train and test data, this dataset includes the most indicative features (words and phrases) for four of the hashtags, as well as the human judgement whether the tweets that contain or are classified with these hashtags convey the presumed emotion of the hashtags.Subject period: December 16th 2010 until February 1st 2013
提供机构：
A.P.J. Van Den Bosch; C.C. Liebrecht; F.A. Kunneman
创建时间：
2017-01-01
