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

机译:基于支持向量机的文本信息分类和识别算法的实现

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摘要

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.
机译:目前,Internet数据是世界上最大的数据资源数据库。为了实现快速自动智能分类,开发自动分类公共安全智能数据系统是具有重要意义。本文研究了公共安全信息文本分类的实际需求,分析了文本自动分类技术支持向量机(SVM)理论和设计,并实现了基于SVM的公共安全信息,并实现了公共安全信息的分类系统。自动分类为后续文本挖掘系统和文本搜索提供支持,并设计系统的性能。优化和测试后,发现该系统具有良好的实际应用结果。

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