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2018 | OriginalPaper | Chapter

Study on Topic Intensity Evolution Law of Web News Topic Based on Topic Content Evolution

Authors : Zhufeng Li, Zhongxu Yin, Qianqian Li

Published in: Cloud Computing and Security

Publisher: Springer International Publishing

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Abstract

The Time Pre-discretized model is firstly adopted to extract web news topic, then a model of topic content evolution is adopted based on the analysis of topic clusters, on which basis a quantification method of topic content is proposed. Experiments on the data sets from social web media find a Pearson correlation coefficient (PCC) of 0.74 between the sequence of topic intensity and that of topic content complexity based on the above quantification method, and a more than 71.5% chance of the simultaneous increase/decrease is observed, showing the “increase or decrease together” law of topic intensity evolution based on topic content evolution.

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Title: Study on Topic Intensity Evolution Law of Web News Topic Based on Topic Content Evolution
Authors: Zhufeng Li
Zhongxu Yin
Qianqian Li
Publisher: Springer International Publishing
Book: Cloud Computing and Security
Print ISBN: 978-3-030-00020-2

Electronic ISBN: 978-3-030-00021-9

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-00021-9_62

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