Stock price forecasting and news sentiment analysis model using artificial neural network
by Somesh Yadav; Ritesh Singh Suhag; K.V. Sriram
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 19, No. 1, 2021

Abstract: The stock market is highly volatile, and the prediction of stock prices has always been an area of interest to many statisticians and researchers. This study is an attempt to predict the prices of stock using artificial neural network (ANN). Three models have been built, one for the future prediction of stock prices based on previous trends, the second for prediction of next day closing price based on today's opening price, and the third one analyses the sentiment of news articles and gives scores based on the news impact. ANN is trained with the historical data using R-studio platform which is then used to predict the future values. Our experimental results for various stock prices showed that the model is effective using ANN.

Online publication date: Tue, 06-Jul-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com