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Abstract
Much research has been concerned with deriving topics from Twitter and applying the outcomes in a variety of real life applications such as emergency management, business advertisements and corporate/ government communication. These activities have used mostly Twitter content to derive topics. More recently, tweet interactions have also been considered, leading to better topics. Given the dynamic aspect of Twitter, we hypothesize that temporal features could further improve topic derivation on a Twitter collection. In this paper, we first perform experiments to characterize the temporal features of the interactions in Twitter. We then propose a time-sensitive topic derivation method. The proposed method incorporates temporal features when it clusters the tweets and identifies the representative terms for each topic. Our experimental results show that the inclusion of temporal features into topic derivation results in a significant improvement for both topic clustering accuracy and topic coherence comparing to existing baseline methods.
Original language | English |
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Title of host publication | Web Information Systems Engineering – WISE 2015 |
Subtitle of host publication | 16th International Conference, Miami, FL, USA, November 1-3, 2015, Proceedings, Part 1 |
Editors | Jianyong Wang, Wojciech Cellary, Dingding Wang, Hua Wang, Shu-Ching Chen, Tao Li, Yanchun Zhang |
Place of Publication | Cham |
Publisher | Springer, Springer Nature |
Pages | 138-152 |
Number of pages | 15 |
ISBN (Electronic) | 9783319261904 |
ISBN (Print) | 9783319261898 |
DOIs | |
Publication status | Published - 2015 |
Event | 16th International Conference on Web Information Systems Engineering, WISE 2015 - Miami, United States Duration: 1 Nov 2015 → 3 Nov 2015 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Publisher | Springer International Publishing |
Volume | 9418 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 16th International Conference on Web Information Systems Engineering, WISE 2015 |
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Country/Territory | United States |
City | Miami |
Period | 1/11/15 → 3/11/15 |
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A Personalized Social Network Based Location Search and Recommender System
Yang, J., Orgun, M., Wang, Y., Air, M., Eichhorn, B. & Rej, T.
1/05/13 → …
Project: Research