Analysis of Social Networking Platforms to Predict Stock Market Changes

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-33 Number-1
Year of Publication : 2016
Authors : Rohit Vincent, Rohini V
  10.14445/22312803/IJCTT-V33P109

MLA

Rohit Vincent, Rohini V "Analysis of Social Networking Platforms to Predict Stock Market Changes". International Journal of Computer Trends and Technology (IJCTT) V33(1):40-42, March 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
This paper aims at creating a self-learning classifier model that classifies a text or phrase as positive or negative and provide a decision on the current stock market changes based on various information. The classifier plots a graph along with the user sentiments and the future prediction allowing the user to decide whether to invest in the stock or not.

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Keywords
Naïve Bayes, Self-learning System, Feature selection, Stock Market Prediction, Linear Regression.