Analysis of Social Networking Platforms to Predict Stock Market Changes
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2016 by IJCTT Journal | ||
| Volume-33 Number-1 |
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| Year of Publication : 2016 | ||
| Authors : Rohit Vincent, Rohini V | ||
| DOI : 10.14445/22312803/IJCTT-V33P109 |
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.