Deep learning based Chinese text sentiment mining and stock market correlation research. (arXiv:2205.04743v1 [q-fin.CP])

We explore how to crawl financial forum data such as stock bars and combine
them with deep learning models for sentiment analysis. In this paper, we will
use the BERT model to train against the financial corpus and predict the SZSE
Component Index, and find that applying the BERT model to the financial corpus
through the maximum information coefficient comparison study. The obtained
sentiment features will be able to reflect the fluctuations in the stock market
and help to improve …

arxiv correlation deep learning learning mining research sentiment stock text