IMPROVING THE ACCURACY FOR SENTENCE LEVEL SENTIMENT ANALYSIS
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Abstract
Sentiment Analysis is one of the trending topics in the Information and Technology field. In this paper, we tried to increase the efficiency of sentiment analysis. To achieve maximum accuracy, a sentence level analysis was performed by taking into account oxymoron (i.e. Figure of speech in which apparently contradictory terms appear in conjunction). We addressed the problem of sentiment analysis in twitter by classifying the tweets according to the sentiment expressed in them.
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