Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Pages | 1173-1174 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012 - Portland, OR, United States Duration: 12 Aug 2012 → 16 Aug 2012 |
Publication series
| Name | SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval |
|---|
Conference
| Conference | 35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012 |
|---|---|
| Country/Territory | United States |
| City | Portland, OR |
| Period | 12/08/12 → 16/08/12 |
Keywords
- hashtag
- hashtag clarity
- popularity prediction
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Ma, Z., Sun, A., & Cong, G. (2012). Will this #hashtag be popular tomorrow? In SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1173-1174). (SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval). https://doi.org/10.1145/2348283.2348525