• Harjit Singh

The financial markets are unpredictable, complex and volatile due to which it is very challenging to predict the market. Quantitative analysis on historical data is mostly used for stock market prediction using conventional methods. But these methods have their own limitations because they cannot analyse sentiment and news driven events which largely affect the stock prices. Natural language processing is a very powerful tool which can be used to analyze textual information such as financial reports, social media posts, news articles etc. to get insights into the stock market prices. This paper discusses NLP applications for predicting the stock market prices with its benefits and challenges.

Natural Language Processing, Sentiment Analysis, Predicting Financial Markets. Market Transactions, Stock Market and Computers.

"NLP and Stock Market: Role of NLP Techniques and Applications in Stock Market Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.670-673, December-2017, Available :http://www.jetir.org/papers/JETIR1712276.pdf

"NLP and Stock Market: Role of NLP Techniques and Applications in Stock Market Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp670-673, December-2017, Available at : http://www.jetir.org/papers/JETIR1712276.pdf