Emerging Topic Detection from Microblog Streams Based on Emerging Pattern Mining

Peng, Min and Ouyang, Shuang and Zhu, Jiahui and Huang, Jiajia and Wang, Hua and Yong, Jianming (2018) Emerging Topic Detection from Microblog Streams Based on Emerging Pattern Mining. In: 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, 9-11 May 2018, Nanjing, China.


Abstract

Emerging topic detection from microblogs has developed into an attractive task because events usually break on social channels. However, due to the features of high noise, short length, fast arriving rate and irregular writing style of microblogs, it has been proven to be a challenge to detect emerging topics from microblog streams early and accurately in a scalable way. Several approaches have been proposed to tackle this problem and have achieved sound performance in some aspects. However, from the point of novelty and scalability, there is still considerable space for improvement. Inspired by the consideration, we propose an emerging topic detection framework based on emerging pattern mining. Via encoding the term novelty into an efficient high utility itemset mining (HUIM) algorithm, a group of emerging patterns which are concise and interpretive representations of topics can be first detected, decreasing the computational cost of the clustering part.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021)
Date Deposited: 07 Feb 2020 07:03
Last Modified: 11 Feb 2020 23:34
Uncontrolled Keywords: Emerging Topic Detection, High Utility Itemset Mining, Emerging Pattern Clustering
Fields of Research (2008): 08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460999 Information systems not elsewhere classified
Identification Number or DOI: https://doi.org/10.1109/CSCWD.2018.8465166
URI: http://eprints.usq.edu.au/id/eprint/35586

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