Machine Learning Based Text Classification Technology

The Internet is now the largest order of magnitude data center in human history. With the access of the industry and the continuous increase of existing database data, the scale is also increasing. The main purpose of this paper is to analyze and research the progress of existing text classification technology based on the related algorithms of machine learning. This paper focuses on improving the classification ability of text classification algorithms, proposes concept indexing and principal component analysis, and conducts related experiments. The research results show that in the process of increasing the dimension of the concept indexing method, when the dimension increases to 5, the accuracy of the text frequency method will be greatly improved.