International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,August 2017,

Topic : Social Media Mining for Price Prediction of Stock Market Using Map Reduce Framework

Authors:Megha Rani Raigonda || Gangamma

Abstract:Big data may be an evolving expression that depicts large data sets that may be analyzed computationally to reveal patterns, especially relating to the behaviour and interaction of the human..At whatever voluminous add up of structured, semi structured and unstructured information that need those possibility with a chance to be mined to majority of the data in the stock market. The stock market price prediction is the one of the most difficult task because the price of the stock is changing instantaneously. In the traditional, the stock are only prices are predicting the based on the market sentiment, usually for the short-term periods for the small-caps. For the long term stocks, the statistical analysis methods are not beneficial. In our project work for the stock price prediction we are using the social media mining technology to evaluating the stocks of the market segment. We are using the big data analytic and the map reducing technique to predict the price of the stocks for long term for the user selling or buying the stocks in the best time..

Keywords: Big data ,map-reduce technique, big data analysis, statistical analysis

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DOI: 01.1617/vol4/iss8/pid65390


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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