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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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
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016018/
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author Fu CHEN
Chuang LIN
Chao XUE
Yue-mei XU
Kun MENG
Yi-han NI
author_facet Fu CHEN
Chuang LIN
Chao XUE
Yue-mei XU
Kun MENG
Yi-han NI
author_sort Fu CHEN
collection DOAJ
description 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.
format Article
id doaj-art-3a8867ecc4e74af1abcfc22bba4e67fd
institution Kabale University
issn 1000-436X
language zho
publishDate 2016-02-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-3a8867ecc4e74af1abcfc22bba4e67fd2025-01-14T06:54:43ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-02-0137111959698977Vector semantic computing method study for short sentenceFu CHENChuang LINChao XUEYue-mei XUKun MENGYi-han NIA 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016018/online social networkstheme semantic computingartificial neural netsburst topics discovering
spellingShingle Fu CHEN
Chuang LIN
Chao XUE
Yue-mei XU
Kun MENG
Yi-han NI
Vector semantic computing method study for short sentence
Tongxin xuebao
online social networks
theme semantic computing
artificial neural nets
burst topics discovering
title Vector semantic computing method study for short sentence
title_full Vector semantic computing method study for short sentence
title_fullStr Vector semantic computing method study for short sentence
title_full_unstemmed Vector semantic computing method study for short sentence
title_short Vector semantic computing method study for short sentence
title_sort vector semantic computing method study for short sentence
topic online social networks
theme semantic computing
artificial neural nets
burst topics discovering
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016018/
work_keys_str_mv AT fuchen vectorsemanticcomputingmethodstudyforshortsentence
AT chuanglin vectorsemanticcomputingmethodstudyforshortsentence
AT chaoxue vectorsemanticcomputingmethodstudyforshortsentence
AT yuemeixu vectorsemanticcomputingmethodstudyforshortsentence
AT kunmeng vectorsemanticcomputingmethodstudyforshortsentence
AT yihanni vectorsemanticcomputingmethodstudyforshortsentence