Will this #hashtag be popular tomorrow?
Hashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a hashtag that has the potential to be popular in the next day, we construct a hashtag profile using the tweets containing t...
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sg-ntu-dr.10356-972812020-05-28T07:41:42Z Will this #hashtag be popular tomorrow? Ma, Zongyang Sun, Aixin Cong, Gao School of Computer Engineering International conference on Research and development in information retrieval (35th : 2012) DRNTU::Engineering::Computer science and engineering Hashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a hashtag that has the potential to be popular in the next day, we construct a hashtag profile using the tweets containing the hashtag, and extract both content and context features for hashtag popularity prediction. We model this prediction problem as a classification problem and evaluate the effectiveness of the extracted features and classification models. 2013-07-24T06:21:02Z 2019-12-06T19:40:52Z 2013-07-24T06:21:02Z 2019-12-06T19:40:52Z 2012 2012 Conference Paper Ma, Z., Sun, A., & Cong, G. (2012). Will this #hashtag be popular tomorrow?. Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12. https://hdl.handle.net/10356/97281 http://hdl.handle.net/10220/12106 10.1145/2348283.2348525 en © 2012 The Authors. |
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DRNTU::Engineering::Computer science and engineering Ma, Zongyang Sun, Aixin Cong, Gao Will this #hashtag be popular tomorrow? |
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Hashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a hashtag that has the potential to be popular in the next day, we construct a hashtag profile using the tweets containing the hashtag, and extract both content and context features for hashtag popularity prediction. We model this prediction problem as a classification problem and evaluate the effectiveness of the extracted features and classification models. |
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School of Computer Engineering |
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School of Computer Engineering Ma, Zongyang Sun, Aixin Cong, Gao |
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Conference or Workshop Item |
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Ma, Zongyang Sun, Aixin Cong, Gao |
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Ma, Zongyang |
title |
Will this #hashtag be popular tomorrow? |
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Will this #hashtag be popular tomorrow? |
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Will this #hashtag be popular tomorrow? |
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Will this #hashtag be popular tomorrow? |
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Will this #hashtag be popular tomorrow? |
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will this #hashtag be popular tomorrow? |
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2013 |
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https://hdl.handle.net/10356/97281 http://hdl.handle.net/10220/12106 |
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