Abstract

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.

Keywords

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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