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In this paper, we are going to develop a natural language processing model tohelp us to predict stocks in the long term. The whole network includes twomodules. The first module is a natural language processing model which seeksout reliable factors from input reports. While the other is a time-seriesforecasting model which takes the factors as input and aims to predict stocksearnings yield. To indicate the efficiency of our model to combine thesentiment analysis module and the time-series forecasting module, we name ourmethod ESAN.

ESAN: Efficient Sentiment Analysis Network of A-Shares Research Reports for Stock Price Prediction