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Conference Paper: Real-time detection and sorting of news on microblogging platforms
Title | Real-time detection and sorting of news on microblogging platforms |
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Authors | |
Issue Date | 2015 |
Citation | The 29th Pacific Asia Conference on Language, Information and Computation (PACLIC 2015), Shanghai, China, 30 October-1 November 2015. In Conference Proceedings, 2015, p. 462-470 How to Cite? |
Abstract | Due to the increasing popularity of microblog-ging platforms (e.g., Twitter), detecting real-Time news from microblogs (e.g., tweets) has recently drawn a lot of attention. Most of the previous work on this subject detect news by analyzing propagation patterns of microblogs. This approach has two limitations: (i) many non-news microblogs (e.g. marketing activi-Ties) have propagation patterns similar to news microblogs and therefore they can be false-ly reported as news; (ii) using propagation patterns to identify news involves a time de-lay until the pattern is formed, therefore news are not detected in real time. We propose an alternative approach, which, motivated by the necessity of real-Time detection of news, does not rely on propagation of posts. More-over, we propose a real-Time sorting strategy that orders the detected news microblogs us-ing a translational approach. An experimen-Tal evaluation on a large-scale microblogging dataset demonstrates the effectiveness of our approach. |
Persistent Identifier | http://hdl.handle.net/10722/234880 |
DC Field | Value | Language |
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dc.contributor.author | Tu, W | - |
dc.contributor.author | Cheung, DWL | - |
dc.contributor.author | Mamoulis, N | - |
dc.contributor.author | Yang, M | - |
dc.contributor.author | Lu, Z | - |
dc.date.accessioned | 2016-10-14T13:49:51Z | - |
dc.date.available | 2016-10-14T13:49:51Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 29th Pacific Asia Conference on Language, Information and Computation (PACLIC 2015), Shanghai, China, 30 October-1 November 2015. In Conference Proceedings, 2015, p. 462-470 | - |
dc.identifier.uri | http://hdl.handle.net/10722/234880 | - |
dc.description.abstract | Due to the increasing popularity of microblog-ging platforms (e.g., Twitter), detecting real-Time news from microblogs (e.g., tweets) has recently drawn a lot of attention. Most of the previous work on this subject detect news by analyzing propagation patterns of microblogs. This approach has two limitations: (i) many non-news microblogs (e.g. marketing activi-Ties) have propagation patterns similar to news microblogs and therefore they can be false-ly reported as news; (ii) using propagation patterns to identify news involves a time de-lay until the pattern is formed, therefore news are not detected in real time. We propose an alternative approach, which, motivated by the necessity of real-Time detection of news, does not rely on propagation of posts. More-over, we propose a real-Time sorting strategy that orders the detected news microblogs us-ing a translational approach. An experimen-Tal evaluation on a large-scale microblogging dataset demonstrates the effectiveness of our approach. | - |
dc.language | eng | - |
dc.relation.ispartof | Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 Proceedings | - |
dc.title | Real-time detection and sorting of news on microblogging platforms | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Cheung, DWL: dcheung@cs.hku.hk | - |
dc.identifier.email | Mamoulis, N: nikos@cs.hku.hk | - |
dc.identifier.authority | Cheung, DWL=rp00101 | - |
dc.identifier.authority | Mamoulis, N=rp00155 | - |
dc.description.nature | postprint | - |
dc.identifier.scopus | eid_2-s2.0-84967185275 | - |
dc.identifier.hkuros | 268747 | - |
dc.identifier.spage | 462 | - |
dc.identifier.epage | 470 | - |
dc.customcontrol.immutable | sml 161202 | - |