Indian Stock Market Predictor System

  • C. H Vanipriya
  • K. Thammi Reddy
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 249)


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


Machine Learning Neural networks Sentiment analy 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of CSESir M. Visvesvarya Institute of TechnologyBangaloreIndia
  2. 2.Department of CSE, GITGITAMUniversityVishakhapatnamIndia

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