Stock market price data is generated in huge volume and it changes every second. Stock market is a complex and challenging system where people will either gain money or lose their entire life savings. In this research work, an attempt is made for prediction of stock market trend.The predicting of exchange movements may be a big drawback in Stock market. Social media is utterly representing people’s sentiment and opinions regarding the current events. Twitter has played a big role in attracting loads of attention from researchers for finding out people sentiments. Exchange prediction supported public sentiments expressed on Twitter associated with alternative social media have been the main field of analysis. To achieve the goal, this research work primarily uses machine learning techniques to discover various factors linked to stock market. Machine learning approaches have a successful outcome in extracting information by building together stock market predicting models from stock datasets. To predict stock market, the quarrying of information from these data can be useful. The work is to look at how well the changes available i.e. Cost of corporation, the ups and downs, are correlating with the public opinions being expressed in tweets of the company. Keywords: Stock market, Machine learning, Prediction