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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Beijing Xintong Media Co., Ltd
2020-03-01
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Series: | Dianxin kexue |
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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 AT lisu methodofshorttextstrategyminingbasedonsubsemanticspace AT xingzhang methodofshorttextstrategyminingbasedonsubsemanticspace AT fengshengwang methodofshorttextstrategyminingbasedonsubsemanticspace AT haitaodu methodofshorttextstrategyminingbasedonsubsemanticspace |