Document classification methods

TL;DR

This paper reviews various supervised and unsupervised document classification methods, comparing their advantages and disadvantages to improve text organization and retrieval efficiency.

Contribution

It provides a comparative analysis of multiple document classification techniques, highlighting their strengths and weaknesses.

Findings

Different classification methods have distinct advantages and limitations.

Supervised methods generally achieve higher accuracy than unsupervised ones.

The study offers insights into selecting appropriate methods for specific applications.

Abstract

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.