短句语义向量计算方法

doi:10.11959/j.issn.1000-436x.2016018

Abstract

Abstract:

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.

Key words: online social networks, theme semantic computing, artificial neural nets, burst topics discovering

Fu CHEN,Chuang LIN,Chao XUE,Yue-mei XU,Kun MENG,Yi-han NI. Vector semantic computing method study for short sentence[J]. Journal on Communications, 2016, 37(2): 11-19.

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References 32

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Vector semantic computing method study for short sentence

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