Yang SUN, Li SU, Xing ZHANG, et al. Method of short text strategy mining based on sub-semantic space[J]. Telecommunications science, 2020, 36(3): 83-94.
DOI:
Yang SUN, Li SU, Xing ZHANG, et al. Method of short text strategy mining based on sub-semantic space[J]. Telecommunications science, 2020, 36(3): 83-94. DOI: 10.11959/j.issn.1000-0801.2020061.
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 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.
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references
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