An Overview of E-Documents Classification

• Main Authors: Aurangzeb , khan, Baharum, Baharudin, Khairullah, khan
• Format: Conference or Workshop Item
• Published: 2010
• Subjects: T Technology (General)
• Online Access: http://eprints.utp.edu.my/6430/1/An_Overview_of_E-Documents_Classification.pdf; http://eprints.utp.edu.my/6430/

With the increasing availability of electronic documents and the rapid growth of the World Wide Web, the task of automatic categorization of documents becomes the key method for organizing the information, knowledge and trend detection. With the growing availability of online resources, and popularity of fast and rich resources on web, classification of e-documents, news, personal blogs, and extraction of knowledge and trend from the documents has become an interesting area for research, as the World Wide Web is the fastest media for news and events collection from world. So the growing phenomenon of the textual data needs text mining, machine learning and natural language processing techniques and methodologies to organize and extract pattern and knowledge from the documents. This overview focused on the existing literature and explored the main techniques and methods for automatic documents classification i.e. documents representation, classifier construction and knowledge extraction and also discussed the issues along with the approaches and opportunities.