We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Sentimental Classification of Social Media using Data Mining.
- Authors
Laeeq, Farhan; Nafis, Md. Tabrez; Beg, Mirza Rahil
- 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.
- Publication
International Journal of Advanced Research in Computer Science, 2017, Vol 8, Issue 5, p546
- ISSN
0976-5697
- Publication type
Academic Journal