Open AccessA Big Data Analysis of Job Position Status Based on Natural Language Processing
Author(s) -
Qi Liu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/693/1/012026
Subject(s) - position (finance) , the internet , natural (archaeology) , big data , computer science , business , data science , industrial organization , finance , world wide web , data mining , geography , archaeology
With the development of the Internet and computer technology, news on the Internet has gradually been able to influence the development of the economy. In some special periods, with the development of major events, the economy and finance have undergone similar development and changes. This paper proposes a simplified natural language processing method for multi-grained text. First, the news text data is classified according to sentiment, and the correlation between corporate loans and job retention ability is further analysed. The experimental results show that under certain conditions, the Loans issued to SMEs are more conducive to retaining the number of jobs than large enterprises.