Opinion Mining and Sentiment Analysis on a Twitter Data Stream

Pavalanathan Priyanthan, Balakrishnan Gokulakrishnan, Thiruchittampalam Ragavan, Nadarajah Prasath, Amal Shehan Perera

Opinion mining and sentiment analysis in micro blog data is a fast growing topic with many uses in real world scenarios. This paper discusses an approach where tweets retrieved from the Twitter microblogging site are preprocessed and classified based on their emotional content; and analyses the performance of various classifying algorithms based on their precision and recall in such cases.

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