Trend Prediction Of Stock Industry Index Based On Financial Text

The deep learning model has achieved good results in index prediction, but most models only use structured data and cannot effectively predict mutation data. In order to better predict the sudden change data effectively, this paper proposes a new trend prediction model SEN_LSTM, which takes unstructured text data as a supplementary input and improves the performance of the model.