International Journal of Computer Science & Engineering Technology

ISSN : 2229-3345

Open Access
Open Access

ABSTRACT

Title : Impact of Social Media Sentiments and Economic Indicators in Stock Market Prediction
Authors : Ms.K.Nirmala Devi, Dr.V.Murali Bhaskaran
Keywords : Sensex; Nifty; Bombay Stock Exchange; Gold Price; Crude Oil ; Exchange Rate; Sentiment Analysis; Wisdom of Crowd
Issue Date : April 2015
Abstract :
Nowadays, stock market is the one of the major sources of raising resources for India and is act as a key driver for economic growth of a country. The stock market forecasting is a very difficult and highly complicated task because it is affected by many factors such as economic conditions, political events and investor’s sentiment etc. The stock market series are generally dynamic, nonparametric, noisy and chaotic by nature. The primary objective of this research paper is to examine the relationship between Social Media Sentiments, Gold Prices, Exchange Rate and Crude Oil Prices in Indian stock market prediction. The sentiment analysis along with wisdom of crowds can automatically compute the collective intelligence of future performance in the stock market and others. The proposed method utilizes collective sentiments from social media for stock market prediction. Experimental results show that there is some causal relationship between public sentiment and stock market indices to provide useful investment decisions in the right direction. Further, the results show the significant relationships among economic indicators and stock market index.
Page(s) : 213-219
ISSN : 2229-3345
Source : Vol. 6, Issue.4

Copyright © 2010-2024 IJCSET KEJA Publications