Generation of Brand/Product Reputation using Twitter Data

Sentiment Analysis is a variant of Opinion Mining. It basically deals with going through volumes of already existing data collected from the Social Networking Websites such as Twitter, and processing that data in order to derive conclusion(s) from it. Not only that, it takes it a step further, where it not only gathers and analyses the data, but also categorizes the same primarily into three categories namely positive, negative and sometimes even neutral. The data from Twitter is collected and analyzed on the fly to get sentiments out of the public for a particular brand. This very feature of Sentiment Analysis can be used to recognize the market value of a business brand by its users and after comprehending the overall value of the brand in the eyes of its consumer, the brand owners can determine how their product is performing in the market in order to take, corrective action, if the need arises, to improve their product and strategically take over the market. Thus, this paper proposes a smart method to campaign for a business brand, whereby the business owner determines his position in the market, and how well(or bad) his business is doing, by mining data and deriving inferences from the same, rendering them the capability to make insightful and well-informed decisions, thereby providing a cost-effective as well as a highly efficient method to review a business. Thus, it gives the business owners an ability to add value to their business and acquire a competitive edge.