Vector semantic computing method study for short sentence

A vector semantic computing method study for short sentence based on artificial neural network was proposed. And a semantic computational algorithm for social network texts as well as a discovery algorithm for mergencies was provided with reference to the information provided by the social nodes its...

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Bibliographic Details
Main Authors: Fu CHEN, Chuang LIN, Chao XUE, Yue-mei XU, Kun MENG, Yi-han NI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-02-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016018/
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Summary:A vector semantic computing method study for short sentence based on artificial neural network was proposed. And a semantic computational algorithm for social network texts as well as a discovery algorithm for mergencies was provided with reference to the information provided by the social nodes itself and the semantic of the text. Through the numerization of text, the calculation and comparison of semantic distance, the classification of nodes and the discovery of community can be realized. Then, huge quantities of Sina Weibo contents are collected to verify the model and algorithm put forward. In the end, outlooks for future jobs are provided.
ISSN:1000-436X