NDLI: Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation

Content Provider	IEEE Xplore Digital Library
Author	Jingjing Wang Wenzhu Tong Hongkun Yu Min Li Xiuli Ma Haoyan Cai Hanratty, T. Jiawei Han
Copyright Year	2015
Description	Author affiliation: Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China (Xiuli Ma) \|\| Inf. Sci. Directorate, Army Res. Lab., Adelphi, MD, USA (Hanratty, T.) \|\| Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA (Jingjing Wang; Wenzhu Tong; Hongkun Yu; Min Li; Haoyan Cai; Jiawei Han)
Abstract	A major event often has repercussions on both news media and microblogging sites such as Twitter. Reports from mainstream news agencies and discussions from Twitter complement each other to form a complete picture. An event can have multiple aspects (sub-events) describing it from multiple angles, each of which attracts opinions/comments posted on Twitter. Mining such reflections is interesting to both policy makers and ordinary people seeking information. In this paper, we propose a unified framework to mine multi-aspect reflections of news events in Twitter. We propose a novel and efficient dynamic hierarchical entity-aware event discovery model to learn news events and their multiple aspects. The aspects of an event are linked to their reflections in Twitter by a bootstrapped dataless classification scheme, which elegantly handles the challenges of selecting informative tweets under overwhelming noise and bridging the vocabularies of news and tweets. In addition, we demonstrate that our framework naturally generates an informative presentation of each event with entity graphs, time spans, news summaries and tweet highlights to facilitate user digestion.
Starting Page	429
Ending Page	438
File Size	1042010
Page Count	10
File Format	PDF
ISSN	15504786
e-ISBN	9781467395045
DOI	10.1109/ICDM.2015.112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Twitter Joining processes Vocabulary Computer hacking Xenon Media Data mining event discovery news twitter
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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