文章基本信息

标题：Decision Model Based on Semantic Similarity in Internet Information Recognition
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作者：Han, Jing ; Ma, Jing
期刊名称：Journal of Multimedia
印刷版ISSN：1796-2048
出版年度：2014
卷号：9
期号：1
页码：74-82
DOI：10.4304/jmm.9.1.74-82
语种：English
出版社：Academy Publisher
摘要：In order to solve the problems like the credibility of internet information, this paper proposes the credible decision model based on semantic similarity. The model determines the corresponding relevant text information by capturing and analyzing facts statement and realizes the credible decision to determine the facts. In the process of facts credible decision, it considers the semantic similarity between related text information and facts statement and the credibility of related factors. The contribution of related text information is measured, and the fact statement determination is conducted. Simulation experiments show that the reliable determination of the model is correct and accurate.
关键词：Internet;Information Identification;Sentence Extraction;Similarity