REVIEW OF SENTIMENT ANALYSIS ON TWITTER DATA USING PYTHON

Abstract

As we are aware of the social media is usually preferred to share their view towards an object, event. Social networking sites are very beneficial for organization for their business purpose. As people share their opinion about their product and service. Also customer want to know about existing user before they purchase that product. Form that data we can get the data on that data we can do processing and such processed data is used for sentiment analysis. It is very useful for business analysis, production, quality, sales. Processing such twitter or social media data is very challenging task but gaining knowledge from data represents business and benefits regarding product. In this paper we have tried to analyze opinion mining, Advantages, scope of data mining and tools required for it.