News event evolution model based on the reading willingness and modified TF-IDF formula-Reference-Cited by-同舟云学术

News event evolution model based on the reading willingness and modified TF-IDF formula

Published:2017-01-25 Issue:1 Volume:23 Page:33-47
ISSN:1875-8940
Container-title:Journal of High Speed Networks
language:
Short-container-title:JHS

Author:

Wen Angzhan¹,Lin Weiwei¹,Ma Yacong¹,Xie Haoan²,Zhang Guoqiang²

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China. E-mails: 770133694@qq.com, linww@scut.edu.cn, 3024382161@qq.com

2. Winhong Corporation, Guangzhou, China

Publisher

IOS Press

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems

Reference12 articles.

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3. Construction and evaluation of event graphs;Glavaš;Natural Language Engineering,2015

4. A relevance-based topic model for news event tracking

5. Unsupervised and supervised learning to evaluate event relatedness based on content mining from social-media streams;Lee;Expert Systems with Applications,2012

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