Role of Social Sentiment Analysis in Stock Trends Forecasting
K. Anuratha1, M. Parvathy2, S. Sujeetha3, J. Ghayathri4
1K. Anuratha, Assistant Professor, Department of IT, Sri Sai Ram Institute of Technology, Sivaganga (Tamil Nadu), India.
2M. Parvathy, Assistant Professor, Department of IT, Sri Sai Ram Institute of Technology, Sivaganga (Tamil Nadu), India.
3S. Sujeetha, Assistant Professor, Department of IT, Sri Sai Ram Institute of Technology, Sivaganga (Tamil Nadu), India.
4J. Ghayathri, Professor, Department of CSE, K.L.N. College of Information Technology, Sivaganga (Tamil Nadu), India.
Manuscript received on 15 July 2019 | Revised Manuscript received on 11 August 2019 | Manuscript Published on 29 August 2019 | PP: 144-147 | Volume-8 Issue-2S5 July 2019 | Retrieval Number: B10300682S519/2019©BEIESP | DOI: 10.35940/ijrte.B1030.0782S519
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Social media like Face book, Twitter have attracted attention from various sectors of study in recent years. Most of the people share ideas, opinions on various topics such as Stock Market Prediction, Digital marketing, Movie review, Election Results Prediction and Product reviews etc,. Forecasting Financial Market is considered to be one of the significant applications of Sentiment Analysis on Social Data like Face book, Twitter. It is essential to accurately predict the movements in stock trends, as the stock market trends are volatile. In the past few years several researches have been carried out for predicting the future trends of stock market through sentiment analysis on social media comments. This paper gives the survey on the various techniques, tools and methodologies adopted by several researchers on Stock Market Prediction based on sentiment analysis of Social networks.
Keywords: Stock Prediction, Twitter, Sentiment Analysis, Classifiers, Accuracy, Deep Learning.
Scope of the Article: Social Networks