Sentiment Analysis of Twitter Data using KNN Classification Technique |
Author(s): |
| Anjume Shakir , Desh Bhagat Univerity,Punjab, India; Er. Jyoti Arora, Desh Bhagat Univerity,Punjab, India |
Keywords: |
| SVM, KNN, Anaconda, Sentiment Analysis |
Abstract |
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The data mining is the approach which can extract the useful information from the large amount of data. The classification is the approach of data mining which can classify whole data into finite classes. This research is based on the sentiment analysis in which sentiments of the input data are analyzed. In the existing work, SVM classifier is applied for the classification. In the proposed work, SVM will be replaced with the KNN which increase accuracy of classification. The proposed algorithm will be implemented in anaconda and results show improvement in accuracy and reduction in execution time. |
Other Details |
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Paper ID: IJSRDV6I30918 Published in: Volume : 6, Issue : 3 Publication Date: 01/06/2018 Page(s): 2040-2042 |
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