Sentimental Classification of Social Media using Data Mining
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Abstract
In Today’s life, social networking sites provides a great source of communication. So it provides the important source for understanding the emotions of people. In this paper, we use data mining techniques for the purpose of classification to perform sentiment analysis. We collect the facebook dataset and apply the optimized selection(Brute Force) and then we use three different classifiers and also compare their results in order to find which one gives better results.Rapid Miner tool is being used, which helps in building the classifier as well as able to apply it to the testing dataset.
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