• Ekta kashyap
• Prof. Amit Kumar Sariya

Data mining techniques are utilized for examining the information and recuperating the important data from the information. There two fundamental methods of information examination accessible to be specific directed and solo learning. The regulated calculation are the precise models by which the comparative examples are prepared on the underlying examples and exact class marks can be recognizable for crude examples that not contains the class names. In this introduced work the managed learning procedure is utilized for arranging the unstructured twitter information for finding the enthusiastic class names. There are two class names are accessible in information in particular positive classes and negative classes. So as to perform grouping the jokes are first the pre-prepared to make clean. In further the component extraction system is utilized by which the unstructured information is changed into the organized organization. For change of information NLP parser is utilized. The NLP parser is utilized to get the POS (part of speech) data from content and can be utilized for changing the information into the 2D vector. This vector is utilized with the two distinctive arrangement strategies in particular C4.5 choice tree. First the choice tree model is Decision utilizing preparing information. Furthermore, the Decision choice tree is utilized for group the test information. Further the information is again ordered utilizing the Bayesian classifier that replaces the misclassified information to improve the arrangement exactness. The actualized procedure is tested various occasions and it is closed the exhibition of the method improves the grouping capacity by including numerous classifiers.

Data Mining, Sentiment Analysis, Twitter, Social Media, Multi-class Classification, Text Mining, Naïve Bayes.

"Sentiment Analysis on Twitter Dataset Using Hybrid Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.224-229, June 2019, Available :http://www.jetir.org/papers/JETIR1907I31.pdf

"Sentiment Analysis on Twitter Dataset Using Hybrid Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp224-229, June 2019, Available at : http://www.jetir.org/papers/JETIR1907I31.pdf