Research Article
Application of BERT Model in Forecasting Introduction Text and Concept Section of Listed Companies
@INPROCEEDINGS{10.4108/eai.2-12-2022.2332273, author={Boyu Pan}, title={Application of BERT Model in Forecasting Introduction Text and Concept Section of Listed Companies}, proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China}, publisher={EAI}, proceedings_a={BDEIM}, year={2023}, month={6}, keywords={listed company sector multi-label classification bert}, doi={10.4108/eai.2-12-2022.2332273} }- Boyu Pan
Year: 2023
Application of BERT Model in Forecasting Introduction Text and Concept Section of Listed Companies
BDEIM
EAI
DOI: 10.4108/eai.2-12-2022.2332273
Abstract
The stock plate refers to the fact that certain companies have certain specific relevant elements in the stock market, which is named after this element. Plate classification are mainly industry classification and concept classification. The China Securities Regulatory Commission has a unified classification standard for the industry sector, but there is no such standard for the conceptual sector. A stock often involves many conceptual plates. Understanding the conceptual plate classification of stocks can be a very basic reference condition for investors. Therefore, this paper attempts to analyze the description text of listed companies through the BERT model to complete the multi-label classification task of their respective plates, and informationize a large number of texts into simple and clear label information, which can be used as a reference for further analysis of the stock information.
