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A survey of the development of computer text analysis algorithms

Diànzǐ jìshù yīngyòng, 2023-03, Vol.49 (3), p.42-47 [Peer Reviewed Journal]

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Title:
A survey of the development of computer text analysis algorithms
Author: Sun Jinghan ; Ren Jing
Subjects: algorithm ; natural language processing ; text analysis
Is Part Of: Diànzǐ jìshù yīngyòng, 2023-03, Vol.49 (3), p.42-47
Description: 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.
Publisher: National Computer System Engineering Research Institute of China
Language: Chinese
Identifier: ISSN: 0258-7998
DOI: 10.16157/j.issn.0258-7998.223117
Source: DOAJ Directory of Open Access Journals

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