基于机器学习的文本分类研究

随着时光的流逝,科技已经得到了快速的发展。机器学习和数据挖掘技术在不知不觉中已经发展到了相对成熟的地步,在日常生活中被广泛应用。随着互联网技术的不断完善,人们对网络的依赖程度越来越高,文本信息以各种各样的形式在网络中传递,文本的分类研究也已经涉及日常生活中的各个领域,包括平时所见的用户评论挖掘、网页分类、微博情感分析、Web文档自动分类、数字图书馆、自动文摘、单词语义辨析等有关操作。

With the passage of time, science and technology has developed rapidly. Machine learning and data mining technology have developed to a relatively mature stage unconsciously, and are widely used in daily life. With the continuous improvement of Internet technology, people are more and more dependent on the network. Text information is transmitted in various forms in the network. Text classification research has also been used in various fields of daily life, including user review mining, web page classification, micro blog sentiment analysis, Web document automatic classification, digital library,automatic abstract, semantic analysis of words, and other related operations.