In this study, we explore the phenomenon of swearing in Twitter conversations, taking the possibility of predicting the abusiveness of a swear word in a tweet ...
Do You Really Want to Hurt Me? Predicting Abusive Swearing in Social Media · Endang Wahyu Pamungkas, Valerio Basile, V. Patti · Published in International ...
Our collection consists of 1,511 unique swear words from 1,320 tweets. We developed models to automatically predict abusive swearing, to provide an intrinsic ...
Our collection consists of 1,511 unique swear words from 1,320 tweets. We developed models to automatically predict abusive swearing, to provide an intrinsic ...
Feb 17, 2022 · We model this prediction task as three different tasks, namely sequence labeling, text classification, and target-based swear word abusiveness ...
Investigating the role of swear words in abusive language detection tasks
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Feb 17, 2022 · In this study, we explore the phenomenon of swearing in Twitter conversations, by automatically predicting the abusiveness of a swear word in a tweet.
Feb 12, 2020 · "Do You Really Want to Hurt Me? Predicting Abusive Swearing in Social Media" will be presented as a poster at @lrec2020.
Pamungkas E.W., Basile V., Patti V. Do you really want to hurt me? Predicting abusive swearing in social media. Proceedings of the 12th Language Resources ...
Mar 1, 2021 · Do you really want to hurt me? Predicting abusive swearing in social media. In The 12th Language Resources and Evaluation. Conference ...
This paper examines the characteristics of cursing activity on a popular social media platform - Twitter - involving the analysis of about 51 million tweets ...