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. 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, URL: https://www.ijtsrd.com/papers/ijtsrd26660.pdfPaper URL: https://www.ijtsrd.com/computer-science/database/26660/predition-model-for-stock-price-on-big-data-analytics/thin-thin-swe

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