Research on Semi Structured Text Information Extraction Based on Hidden Markov Models
With the rapid development of the Internet and information technology,a large amount of text data is generated and stored on the Internet,which contains rich information.However,most text data is semi-structured,meaning that the organizational structure of the data is incomplete or irregular,making it unsuitable for direct analysis and processing.Therefore,semi-structured text information extraction has become an important research field,and this article studies the extraction of semi-structured text information based on hidden Markov models.
semi-structured textinformation extractionhidden markov model
NETL
NSTL
万方数据
