| Summary: | Abstract： Computer text analysis is an important branch in the field of natural language processing, and it is a computer technology that studies how to extract various types of information from a given corpus from text data. At present, computer text analysis has entered a new historical stage. On the one hand, the keyword extraction algorithm has gradually been completed. On the other hand, with the emergence of the BERT method, the word vector calculation problem has also made great progress. However, there are still some problems to be solved in both keyword extraction and word vector calculation. In addition, many existing studies suitable for using text analysis still use ancient text analysis methods. Therefore, in the future, how to better reduce the model size to promote the integration of disciplines and improve the comprehensive social benefits of text analysis will become an important issue in the development of text analysis algorithms.
|
|---|