Various Techniques for Stock Price Prediction based on Twitter Data and Public Sentiments
Author(s):
Shivani Parekh, Siddhivinayak Kulkarni
Keywords:
Ensemble learning, Indian Stock market prediction, linear regression, machine learning, random forest, SVM, Twitter sentiment analysis.
Abstract
Prediction of stock market prices does not solely depend on only one or two factors, there are many other factors accountable for the same. Technical indicators such as moving averages, stochastic oscillators, RSI are few factors on which stock market prices depend. Sentiments of people are also playing a huge part in the stock prices going high or low. Public opinions about a stock or a product of a company can be taken from various platforms such as twitter or facebook etc. This study aims to predict the stock prices of few nifty 50 companies using twitter sentiment analysis and ensemble modeling. Firstly, how twitter sentiments are driving the stock prices up and down shall be analyzed and then prediction of closing price of stocks of companies listed in nifty 50 will be done.
Article Details
Unique Paper ID: 151099

Publication Volume & Issue: Volume 7, Issue 11

Page(s): 680 - 685
Article Preview & Download


Share This Article

Conference Alert

ICM - STEP

International conference on Management, Science, Technology, Engineering, Pharmact and Humanities.

Go To Issue



Call For Paper

Volume 7 Issue 9

Last Date 25 February 2020

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies