DOIONLINE

DOIONLINE NO - IJSCAI-IRAJ-DOIONLNE-416

Publish In
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI
Journal Home
Volume Issue
Issue
Volume-1,Issue-1  ( May, 2013 )
Paper Title
Indian Stock Market Predictor System
Author Name
Vivek John George, Darshan M. S, Sneha Pricilla, Arun S, Ch. Vanipriya
Affilition
Department of Computer Science and Engineering, Sir M Visvesvarya Institute of Technology, Yelahanka, Bangalore, Karnataka, India
Pages
39-43
Abstract
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.
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