Eliminating the Web Noise by Text Categorization and Optimization Algorithm

In this research, it had been proposed a novel hybrid framework Optimized K-NearestNeighbor (KNN) and FireFly (FF) algorithms to eliminate local noises from web pages. Firstly, the Optimized-KNN is used to classify the contents in the web pages, and second, the FF is used for optimization and noise reduction. The performance metrics for proposed KNN-FF such as Text categorization, Noise classification, and Accuracy show better results while comparing it with the existing NWDL-STC and DOM-SST-ANN techniques.