An Implementation the Concept of Analysis of Microblogging with Twitter for Evaluating the Branding Trends

Anil Ahir, Santosh Tamboli


We here proposing an automated method of classifying the sentiments  in the tweets. We examine the tweets structure and arrangement and we examined the sentiment extract feasibility in our theoretical paper [1]. In this particular paper we shall be putting into practise the theory that we have proposed. The contributions of this paper are: (1) We introduce -specific prior polarity features. (2) We explore the use of a simple classification model. And to draw a conclusion that the parsing of the natural language.

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