Prediction model based on NLP and NN for financial data outcome revelation

摘要

The financial market is too vigorous in nature. As per the growth of world, financial market became the most valuable investment component for the people. The common mentality for the investors is to maximise the capital amount in very short time so to maximise the profit is ultimately to decide the investment strategy for increase the ROI. This approach requires a lot of analytical work to meet the investment objective. It also requires the portfolio rebalancing or switching strategy to optimise the revenue. The proposed model based on predictive approach to recommend the future value of selective stock from given data and the model performs the analytical task based on financial news and technical financial data. For analysing the news impact proposed approach deal with TF-TDF text mining technique and semantic analysis of Natural Language Processing to predict the impact of news. It also used technical data and to forecast future value the historical data of stock is necessity. So the modified neural network based on back propagation methodology used as forecasting machine learning methodology in presented model to predict the future value.