ENSEMBLE OF TWITTER FEATURE SETS AND CLASSIFICATION ALGORITHMS FOR SENTIMENT CLASSIFICATION
Journal Title: GJRA-Global Journal For Research Analysis - Year 2018, Vol 7, Issue 3
Abstract
Sentiment analysis of Twitter information. Sentiment or utilizes the Naive Bayes Classier to classify Tweets into positive, negative neutral, or negation we have a tendency to gift experimental analysis of our Live Review Twitter dataset and classication results, Sentiment Analysis could be a task to spot Associate in Nursing text as comments, reviews or message. The similarity between user rating schedules is employed to represent social rating behavior similarity. The factor of social rating behaviour diffusion is planned to deep perceive users' rating behaviors. we have a tendency to explore the user's social circle, and split the social network into 3 parts, direct friends, mutual friends, and therefore the indirect friends, to deep understand social users rating behaviour diffusions. These factors are amalgamate along to boost the accuracy and relevancy of predictions.
Authors and Affiliations
Dr. Anu S, Kalaiselvi. M
Keywords
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