Research on Text Naming Recognition Algorithm Based on Text Mining

Abstract

In the process of scientific research, the naming of Chinese texts is very critical, which often affects scholars' cognition and judgment of things, and also has a certain impact on a series of operations such as experiments. On the other hand, in the process of professional research, many uncommon words often need to be verified by retrieving the corresponding knowledge system. The naming and recognition of these specialized words are very difficult, and there are many complex problems, such as polysemy and the nesting of wings. Therefore, under the above background conditions, this paper uses text mining method to conduct related research on the text naming of scientific research objects and uses the text mining method to construct and improve the text naming recognition algorithm accordingly. The support vector machine method and neural network model are used to build a text naming method suitable for Chinese, and good results are obtained in the application process.