Enterprise analysis through opinion mining

With the evolution of varied microblogging and social websites, internet has become a source of huge amount of data which are not just facts but opinions and reviews of the users. These opinions are customer reviews about the services and product of companies and are also can be used as feedbacks, thus generating useful information for decision makers. So to identify the user's opinions or suggestions and then distinguish it into positive, negative and neutral comments and quotes a process of Opinion Mining and Sentimental Analysis is used which is a Natural Language Processing and Information Extraction task. In this paper we are using concept of opinion mining for extracting the tweets from the Twitter and then determining the attitude of the mass as positive, negative or neutral towards the enterprise and its products. This result would be useful for the comparative study of enterprises in the market and for review analysis for enterprises.