Document classification methods
This is an incremental review of existing methods for document classification, relevant to users managing text data in fields like scientific texts and digital libraries.
The paper studied and compared several unsupervised and supervised document classification methods to address the need for organizing and retrieving information efficiently, but it did not report specific results or numbers.
Information on different fields which are collected by users requires appropriate management and organization to be structured in a standard way and retrieved fast and more easily. Document classification is a conventional method to separate text based on their subjects among scientific text, web pages and digital library. Different methods and techniques are proposed for document classifications that have advantages and deficiencies. In this paper, several unsupervised and supervised document classification methods are studied and compared.