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Sentiment Analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. The attitude may be his or her judgement or evaluation, affective state, or the intended emotional communication. The rise of social media such as blogs and social networks has fueled interest in sentiment analysis. With the proliferation of reviews, ratings, recommendations and other forms of online expression, online opinion has turned into a kind of virtual currency for businesses looking to market their products, identify new opportunities and manage their reputations. One step R-SHIEF has accomplished towards this aim is accomplished in research; building a lexicon of words & languages, then applying a numerical value. The database below represents a preview of our Lexicon of Words, Languages, and their corresponding Alphabet to achieve Semantic Analysis.

Fig. 1 This 3D real-time graph is updated every minute and reflects top trending hashtags in R-Shief's archive over the past 24 hours.

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