Predition Model for Stock Price on Big Data Analytics

Phyu Phyu; Sandar Pa Pa Thein; Thin Thin Swe

Title:
Predition Model for Stock Price on Big Data Analytics

Authors:
Thin Thin Swe | Phyu Phyu | Sandar Pa Pa Thein

Cite This Article :

Thin Thin Swe | Phyu Phyu | Sandar Pa Pa Thein "Predition Model for Stock Price on Big Data Analytics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.1444-1446, URL: https://www.ijtsrd.com/papers/ijtsrd26660.pdf

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Abstract :
Prediction in the stock market is very challenging in these days. Large datasets available from Twitter micro blogging platform and widely available stock market records. Machine learning was employ to conduct sentiment analysis of data and to estimate for future stock prices. The relation between sentiments and the stock value is to be determined. A comparative study of these algorithms: Multiple linear Regression, Support Vector Machine and Artificial Neural Network are done.

Keywords :
Stock Market; Sentiment Analysis; Multiple Linear Regression (MLR); Support Vector Machine (SVM); Artificial Neural Network (ANN)

Publication Details:

Unique Identification Number : IJTSRD26660

Published In : Volume-3 | Issue-5, August 2019

Page Number(s) : 1444-1446

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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