EFFICIENT HIGH COVERAGE SOCIAL MEDIA OPINION ANALYSIS USING HASH TAGGER APPROACH
This work proposes a novel Sentiment-Based Enhanced Naïve Bayes to address the information overload problem through information filtering. The proposed framework first applies a Natural Language Processing (NLP) technique to perform sentiment analysis taking advantage of the huge sums of textual data generated in from the social media are predominantly left untouched. Although some current studies do employ review texts, many of them do not consider how sentiments in reviews influence recommendation algorithm for prediction.
General Terms: Your general terms must be any term which can be used for general classification of the submitted material such as Pattern Recognition, Security, Algorithms et. al.