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Document classification

Known as: Topic spotting, Text categorisation, Classification 
Document classification or document categorization is a problem in library science, information science and computer science. The task is to assign a… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
With increasing interest in sentiment analysis research and opinionated web content always on the rise, focus on analysis of text… 
Review
2010
Review
2010
In this report, we consider the task of automated assessment of English as a Second Language (ESOL) examination scripts written… 
2009
2009
In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain… 
2004
2004
Finite-state models are used to implement a handwritten text recognition and classification system for a real application… 
Highly Cited
2004
Highly Cited
2004
This paper presents the clustering algorithm PoBOC (Pole-Based Overlapping Clustering). It has two main characteristics: the… 
2003
2003
We suggest a corpus-independent feature set appropriate for style-based text categorization problems. To achieve this, we… 
2003
2003
Newspapers are one of the most challenging domains for information retrieval systems: new articles appear everyday written in… 
2002
2002
Why N-grams constitute an effective tool for the text categorization? How do we pass from the purely formal aspect of the text to… 
2001
2001
In recent years , information processing turns more and more important for us to get useful information . Text categorization…