Title :
Web Text Classification Using a Neural Network
Author_Institution :
Dept. of Comput. Sci. & Eng., Jadavpur Univ., Kolkata, India
Abstract :
A web text classification method using a neural network is presented here. The proposed method can classify a set of English text documents into a number of given classes depending on their contents where the number of such classes is not known a priori. Text documents, internet edition of news paper, from various faculties of games and sports are considered for experimentation. The method is found to provide satisfactory results for three sets of data considered for experimentation.
Keywords :
Internet; pattern classification; text analysis; English text document classification; Web text classification method; internet newspaper edition; neural network; Artificial neural networks; Classification algorithms; Clustering algorithms; Feature extraction; Games; Support vector machine classification; Text categorization; Clustering; Neural Networks; Web Text Classification;
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2011 Second International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4244-9683-9
DOI :
10.1109/EAIT.2011.34
