USER SENTIMENTS ANALYSIS IN TWITTER WITH SOCIAL CONTEXT

Swapnil S. Nanaware

Abstract


Users can share their emotions in more suitable format with the help of micro blogging services like twitter. Twitter provides information about individual's real-time feelings through the data resources provided by individuals. The important task is to extract user's tweets and perform an examination and survey. However, this extracted information will helpful to make prediction about user's opinion towards specific topics. As there are tremendous amount of tweets available on micro blogging services. It is very difficult to user, so the major challenge is to analyze all tweets in short time. In this paper we mainly focus on solving this problem with the naive Bayes technique. This paper is attempted to obtain polarity of individual's opinion used for opinion and sentiment analysis.


Keywords


Twitter, Opinion Mining, Sentiments, Polarity, Naïve Bayes Classifiers, Feature Extraction Technique.

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