Paper Title
Indian Stock Market Predictor System

Stock market prediction models are one the most challenging fields in computer science. Our proposed system combines both the statistical numeric data and sentiments of the stock on the internet to predict future prices in the stock market. The existing models are predicting stock market prices either by using statistical data or by analyzing the sentiments on the internet. The proposed system combines both these methods to develop a hybrid machine learning Stock Market Predictor based on Neural Networks, with intent of improving the accuracy.