• Sunil Kumar Sharma
• Sanjai K Dewakar
• Rajat Sharma*
• Anurag Kumar

Stock market is often viewed as a way to grow the wealth for the individuals or a company. Investors need a greater insight to know the company in which they can invest in, by analyzing the company performance. With the advancement of information technology and analytical software, there is a scope for prediction of future stock values. Stock market prediction model is the most challenging field of the computer science. The thesis aims at investigating various methods which allow the investors to take informed decisions regarding the company they want to invest in. The main ingredient in decision making is the sentiment analysis, which automatically extracts the opinions or sentiments expressed in the news articles concerned with the company that is being investigated. In order to find the impact of the sentiments, the thesis first aims at achieving the correlation between the actual stock values and predicted stock values with sentiments. A neural network has been used for prediction of future stock value.

Naïve Bayes Classifier, Artificial Neural Network, Back propagation, Stock

"Predicting the Trends of the Stock through Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.431-435, June-2019, Available :http://www.jetir.org/papers/JETIR1906F66.pdf

"Predicting the Trends of the Stock through Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp431-435, June-2019, Available at : http://www.jetir.org/papers/JETIR1906F66.pdf