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Research on the correlation between text emotion mining and stock market based on deep learning. (arXiv:2205.06675v1 [q-fin.ST])
May 16, 2022, 1:11 a.m. | Chenrui Zhang
cs.LG updates on arXiv.org arxiv.org
This paper discusses how to crawl the data of financial forums such as stock
bar, and conduct emotional analysis combined with the in-depth learning model.
This paper will use the Bert model to train the financial corpus and predict
the Shenzhen stock index. Through the comparative study of the maximal
information coefficient (MIC), it is found that the emotional characteristics
obtained by applying the BERT model to the financial corpus can be reflected in
the fluctuation of the stock market, …
arxiv correlation deep learning emotion learning mining research stock text
More from arxiv.org / cs.LG updates on arXiv.org
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