Mining and Understanding Regret Tweets
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2014
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ndltd-OhioLink-oai-etd.ohiolink.edu-wright14182481752021-08-03T06:28:36Z Mining and Understanding Regret Tweets Zhou, Lu Social Research computer engineering social reasearch Inappropriate tweets may cause severe damages on the authors' reputation or privacy. However, many users do not realize until publishing them after a while. Once published, such tweets have lasting effects that may not be completely eliminated by simple deletion, because other users may have read them or third-party tweet analysis platforms have cached them. In this paper, we study the problem of identifying regret tweets for normal individual users, with the ultimate goal to reduce the occurrences of regret tweets. We develop a machine learning approach to extract a large collection of regret tweets from noisy deleted tweets. We show that with only the content-based analysis we can effectively find a significant portion of regret tweets with identifiable regret reasons. Furthermore, with the proposed approach we can also effectively distinguish regret tweets from normal kept tweets. 2014-12-18 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1418248175 http://rave.ohiolink.edu/etdc/view?acc_num=wright1418248175 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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English |
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topic |
Social Research computer engineering social reasearch |
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Social Research computer engineering social reasearch Zhou, Lu Mining and Understanding Regret Tweets |
author |
Zhou, Lu |
author_facet |
Zhou, Lu |
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Zhou, Lu |
title |
Mining and Understanding Regret Tweets |
title_short |
Mining and Understanding Regret Tweets |
title_full |
Mining and Understanding Regret Tweets |
title_fullStr |
Mining and Understanding Regret Tweets |
title_full_unstemmed |
Mining and Understanding Regret Tweets |
title_sort |
mining and understanding regret tweets |
publisher |
Wright State University / OhioLINK |
publishDate |
2014 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=wright1418248175 |
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AT zhoulu miningandunderstandingregrettweets |
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