This paper is published in Volume-5, Issue-3, 2019
Area
Machine Learning and Artificial Intelligence
Author
Ambati Venkata Malla Reddy
Co-authors
Dinesh Y., Vamsi Krishna, Soundarya Miranam
Org/Univ
SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
Pub. Date
02 May, 2019
Paper ID
V5I3-1145
Publisher
Keywords
RNN, Twitter, Sentiment analysis, LSTM, BSE, Stock price

Citationsacebook

IEEE
Ambati Venkata Malla Reddy, Dinesh Y., Vamsi Krishna, Soundarya Miranam. Stock market prediction using RNN and sentiment analysis, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ambati Venkata Malla Reddy, Dinesh Y., Vamsi Krishna, Soundarya Miranam (2019). Stock market prediction using RNN and sentiment analysis. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Ambati Venkata Malla Reddy, Dinesh Y., Vamsi Krishna, Soundarya Miranam. "Stock market prediction using RNN and sentiment analysis." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

Predicting the stock Price is a challenging task. With an increase in data collection through the internet, data scientists try to extract valid data points for the prediction. However, these data points are one way affecting the stock market. Therefore the prediction for stock market index movements, we use real-time tweets from the twitter using their API and sentiment analysis to predict the stock market moments by correlating them with the Existing data set used to train a recursive neural network model Evaluations on the data from the year 2004 to present upon Bombay stock exchange to demonstrate our model. Hence making the predictions almost accurate.
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