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RESEARCH ON THE TEXT CLASSIFICATION BASED ON NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING

机译:基于自然语言处理和机器学习的文本分类研究

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In this paper, the author researched on the text classification based on natural language processing and machine learning. Text classification can solve the information chaos to a great extent as a key technology of processing and organizing vast text data. It has very realistic significance for efficient management and effective utilization of information and has gradually been an important research direction in the field of data mining. The author deeply discussed the relationship between text classification and machine learning. The experiment result shows the performance of text classification can be improved by using natural language processing and machine learning.
机译:在本文中,作者研究了基于自然语言处理和机器学习的文本分类。文本分类作为处理和组织大量文本数据的关键技术,可以在很大程度上解决信息混乱的问题。它对于有效管理和有效利用信息具有非常现实的意义,并逐渐成为数据挖掘领域的重要研究方向。作者深入讨论了文本分类与机器学习之间的关系。实验结果表明,通过自然语言处理和机器学习可以提高文本分类的性能。

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