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An unsupervised framework of exploring events on Twitter : filtering, extraction and categorization
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Zhou, Deyu, Chen, Liangyu and He, Yulan (2015) An unsupervised framework of exploring events on Twitter : filtering, extraction and categorization. In: Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin, 25-29 Jan 2015. Published in: Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI) pp. 2468-2474. doi:10.5555/2886521.2886664
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Official URL: https://doi.org/10.5555/2886521.2886664
Abstract
Twitter, as a popular microblogging service, has become a new information channel for users to receive and exchange the mostup-to-date information on current events. However, since there is no control on how users can publish messages on Twitter, finding newsworthy events from Twitter becomes a difficult task like "finding a needle in a haystack". In this paper we propose a general unsupervised framework to explore events from tweets, which consists of a pipeline process of filtering, extraction and categorization. To filter out noisy tweets, the filtering step exploits a lexicon-based approach to separate tweets that are event-related from those that are not. Then, based on these event-related tweets, the structured representations of events are extracted and categorized automatically using an unsupervised Bayesian model without the use of any labelled data. Moreover, the categorized events are assigned with the event type labels without human intervention. The proposed framework has been evaluated on over 60 millions tweets which were collected for one month in December 2010. A precision of 70.49% is achieved in event extraction, outperforming a competitive baseline by nearly 6%. Events are also clustered into coherence groups with the automatically assigned event type label.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Journal or Publication Title: | Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI) | ||||||
Publisher: | AAAI Press | ||||||
Official Date: | 19 February 2015 | ||||||
Dates: |
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Page Range: | pp. 2468-2474 | ||||||
DOI: | 10.5555/2886521.2886664 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 6 February 2019 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Austin | ||||||
Date(s) of Event: | 25-29 Jan 2015 | ||||||
Open Access Version: |
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