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interest for people so in this paper an easy approach of gathering and analyzing data through keyword based search in social networks is examined using NodeXL and data is gathered from twitter in which political trends have been analyzed. As a result it will be analyzed that, what people are focusing most in politics.
keywords, key users, similar image content, and known locations. Although such approach has been found to be effective in gathering representative data, it also brings in a lot of noise. This paper aims to develop an accurate classifier to filter out noise by taking into account the multimedia content and social nature of
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