Method of short text strategy mining based on sub-semantic space

To solve the problem of identifying short text data accurately,a method of short text strategy mining based on sub-semantic space was proposed.Firstly,semantic space technology was used to solve the problem of “vocabularygap” and “data sparseness” in short text analysis.Then,based on clustering algo...

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Main Authors: Yang SUN, Li SU, Xing ZHANG, Fengsheng WANG, Haitao DU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2020-03-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020061/
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author Yang SUN
Li SU
Xing ZHANG
Fengsheng WANG
Haitao DU
author_facet Yang SUN
Li SU
Xing ZHANG
Fengsheng WANG
Haitao DU
author_sort Yang SUN
collection DOAJ
description To solve the problem of identifying short text data accurately,a method of short text strategy mining based on sub-semantic space was proposed.Firstly,semantic space technology was used to solve the problem of “vocabularygap” and “data sparseness” in short text analysis.Then,based on clustering algorithm,the semantic space was divided into several sub-semantic spaces,and association rules were mined in the sub-semantic space,which improved the efficiency and quality of strategy generation.Finally,binary tree was used to merge strategies and generate the simplest strategy set.Experiments show that compared with the traditional classification model,the accuracy rate of the strategy set generated by the proposed scheme can achieve 85% when the false positive rate is 6.5%.In the processing of illegal short messages,using this technology to mine potential policy sets has strong coverage ability,high accuracy and strong practicability.
format Article
id doaj-art-f66128229ae040be9535ca81a2a24904
institution Kabale University
issn 1000-0801
language zho
publishDate 2020-03-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-f66128229ae040be9535ca81a2a249042025-01-15T03:01:01ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-03-0136839459584098Method of short text strategy mining based on sub-semantic spaceYang SUNLi SUXing ZHANGFengsheng WANGHaitao DUTo solve the problem of identifying short text data accurately,a method of short text strategy mining based on sub-semantic space was proposed.Firstly,semantic space technology was used to solve the problem of “vocabularygap” and “data sparseness” in short text analysis.Then,based on clustering algorithm,the semantic space was divided into several sub-semantic spaces,and association rules were mined in the sub-semantic space,which improved the efficiency and quality of strategy generation.Finally,binary tree was used to merge strategies and generate the simplest strategy set.Experiments show that compared with the traditional classification model,the accuracy rate of the strategy set generated by the proposed scheme can achieve 85% when the false positive rate is 6.5%.In the processing of illegal short messages,using this technology to mine potential policy sets has strong coverage ability,high accuracy and strong practicability.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020061/sub-semantic spacestrategy extractionshort textassociation rule miningclustering
spellingShingle Yang SUN
Li SU
Xing ZHANG
Fengsheng WANG
Haitao DU
Method of short text strategy mining based on sub-semantic space
Dianxin kexue
sub-semantic space
strategy extraction
short text
association rule mining
clustering
title Method of short text strategy mining based on sub-semantic space
title_full Method of short text strategy mining based on sub-semantic space
title_fullStr Method of short text strategy mining based on sub-semantic space
title_full_unstemmed Method of short text strategy mining based on sub-semantic space
title_short Method of short text strategy mining based on sub-semantic space
title_sort method of short text strategy mining based on sub semantic space
topic sub-semantic space
strategy extraction
short text
association rule mining
clustering
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020061/
work_keys_str_mv AT yangsun methodofshorttextstrategyminingbasedonsubsemanticspace
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AT fengshengwang methodofshorttextstrategyminingbasedonsubsemanticspace
AT haitaodu methodofshorttextstrategyminingbasedonsubsemanticspace