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What Is the Whole Development Process? Subevent Detection using Micro Index and Local Clustering

Volume 14, Number 6, June 2018, pp. 1130-1139
DOI: 10.23940/ijpe.18.06.p4.11301139

Hua Zhaoa, Qingtian Zengb, Yuqiang Zhanga, and Weiyi Mengc

aCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
bCollege of Electronic, Communication and Physics, Shandong University of Science and Technology, Qingdao, 266590, China
cComputer Science Department, State Universtiy of New York at Binghamton, Binghamton, 13902, USA

(Submitted on March 10, 2018; Revised on April 26, 2018; Accepted on May 25, 2018)

Abstract:

Users can easily obtain a massive amount of news stories related to an event. But, often the obtained stories are fragmented and can only reflect certain aspects of the event. Detecting the subevents automatically is important for users to understand the whole development process of the event. Motivated by the co-evolution between the event and the opinions about it, we firstly propose to adopt Micro Index and give a dynamic time window construction method based on the recognition of the peaks of the Micro Index Curve. Secondly, we propose a two-stage subevent detection method based on local clustering and classification. And finally, we introduce the news stories about “Luo Yixiao Event” and “Shandong Illegal Vaccines Event”, which are two recent hot events, and use them to evaluate the proposed methods. It is found that the proposed methods are successful.

 

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