Published Paper Details:

- Machine learning and artificial intelligence techniques are being used to solve many real world problems. These techniques are highly effective, minimal effort and saving huge amount of time. Now people are invested in stock market or share market for yielding huge amount of money. Stock market is association of buyers and sellers. But in stock market, any time the stock value will grow or down according to the economic trends. So these changes could affect your share value and some times that decreases your profit. So stock market prediction is very necessary for avoiding this loss. We will propose a system that predicts the stock market value based on social sentiments using machine learning. We will collect the tweets from twitter API and Social media data to perform sentiment analysis and at same time collect data from Social media . Then find the correlation of historical data and extracted twitter data. This relational value used to determine the predicted outcome. This prediction system could greatly help stock investors in taking desired decision which could affect the profit of stock.