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Naive Bayes Classification Technique for Opinion Mining in Data Mining

Journal: International Research Journal of Advanced Engineering and Science (IRJAES) (Vol.2, No. 3)

Publication Date:

Authors : ; ;

Page : 44-47

Keywords : Data Mining; Clustering; Classification; Naïve Bayes Classifier; SVM; Neural network; GA; Opinion Mining; MLP.;

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Abstract

The data mining is the technique which is applied to extract the useful information from the rough information. The opinion mining is the technique of data mining which is applied to extract the opinion of the users. In this work, the technique is been applied which will analyze the opinions of the students towards the collage. The technique is been applied which is based on three phase, the first phase has pre-processing phase in which input data is tokenized. In the second phase, the features from the input data are extracted. In the last phase the technique of classification is been applied which will classify the data into the classes. The proposed algorithm is implemented in python and it is been analyzed that proposed algorithm performs well in terms of various parameters.

Last modified: 2017-08-03 16:04:56