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IJSTR >> Volume 8 - Issue 8, August 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

News Classification Using Hybrid Approach Of PSO-KNN

[Full Text]



Megha Singla, Brahmaleen K. Sidhu



SVM, KNN, PSO, Ngram



There are different applications which are producing the data in a big way for example various social media platforms. These data need to be analyzed and processed to extract new useful information. This information can also be useful for the decision making process for the organization. In current research there is a news related dataset. This dataset includes various types of news under different categories like technology, entertainment, political etc. various general news are to be categorized into its different categories. These categories correct entry will fine tune the whole system. Later on single sports category news are being categorized into different sports categories like cricket, rugby, football etc. Various classification techniques has been used like SVM, KNN, decision tree etc. over to it new genetic based hybrid approach has been used. This hybrid approach is PSO-KNN. It has been used for classification of the inter news classification and the intra news classification. The results have been compared on different parameters like accuracy, specificity, sensitivity etc. In all the parameters the results have shown improvement over to the SVM, KNN and Decision tree.



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