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A hierarchical topic modelling approach for tweet clustering
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Wang, Bo, Liakata, Maria, Zubiaga, Arkaitz and Procter, Rob (2017) A hierarchical topic modelling approach for tweet clustering. International Conference on Social Informatics, 10540 . pp. 378-390. doi:10.1007/978-3-319-67256-4_30 ISSN 0302-9743.
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WRAP-hierarchical-topic-modelling-approach-tweet-clustering-Procter-2017.pdf - Accepted Version - Requires a PDF viewer. Download (608Kb) | Preview |
Official URL: http://dx.doi.org/10.1007/978-3-319-67256-4_30
Abstract
While social media platforms such as Twitter can provide rich and up-to-date information for a wide range of applications, manually digesting such large volumes of data is difficult and costly. Therefore it is important to automatically infer coherent and discriminative topics from tweets. Conventional topic models and document clustering approaches fail to achieve good results due to the noisy and sparse nature of tweets. In this paper, we explore various ways of tackling this challenge and finally propose a two-stage hierarchical topic modelling system that is efficient and effective in alleviating the data sparsity problem. We present an extensive evaluation on two datasets, and report our proposed system achieving the best performance in both document clustering performance and topic coherence.
| Item Type: | Journal Article | ||||||
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| Subjects: | H Social Sciences > HM Sociology | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Social media -- Computer networks, Online social networks, Data mining, Twitter, Cluster analysis | ||||||
| Series Name: | Lecture Notes in Computer Science | ||||||
| Journal or Publication Title: | International Conference on Social Informatics | ||||||
| Publisher: | Springer | ||||||
| Place of Publication: | Cham | ||||||
| ISBN: | 9783319672557 | ||||||
| ISSN: | 0302-9743 | ||||||
| Book Title: | Social Informatics | ||||||
| Official Date: | 2 September 2017 | ||||||
| Dates: |
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| Volume: | 10540 | ||||||
| Page Range: | pp. 378-390 | ||||||
| DOI: | 10.1007/978-3-319-67256-4_30 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Date of first compliant deposit: | 19 September 2017 | ||||||
| Date of first compliant Open Access: | 19 September 2017 | ||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | ||||||
| Title of Event: | SocInfo 2017 | ||||||
| Type of Event: | Conference | ||||||
| Date(s) of Event: | 13-15 Sep 2017 |
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