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Implementation of Classification and Recognition Algorithm for Text Information Based on Support Vector Machine

Authors: Li Zhang;

Implementation of Classification and Recognition Algorithm for Text Information Based on Support Vector Machine

Abstract

At present, Internet data is the world’s largest data resource database. In order to realize fast and automatic intelligent classification, it is of great significance to develop automatic classification of public security intelligent data systems. This paper studies the actual needs of public security information text classification, analyzes the text automatic classification technology support vector machine (SVM) theory and designs and implements SVM-based public security information, and also realizes the classification system of public security information. Automatic classification provides support for subsequent text mining systems and text searches and designs the performance of the system. After optimization and testing, the system was found to have good practical application results.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
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