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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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Related topics

Related topics

48 relations
Artificial neural networkCategorizationConcept miningControlled vocabulary

Broader (2)

Machine learningNatural language processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network
In this work, we address the problem to model all the nodes (words or phrases) in a dependency tree with the dense… 
Highly Cited
2014
Highly Cited
2014
Learning Bilingual Word Representations by Marginalizing Alignments
We present a probabilistic model that simultaneously learns alignments and distributed representations for bilingual data. By… 
Highly Cited
2010
Highly Cited
2010
Academic and professional discourse genres in Spanish
1. Foreword 2. About the authors 3. Introduction 4. Acknowledgments 5. Chapter 1. Discourse genres, academic and professional… 
2010
2010
Representation of Texts into String Vectors for Text Categorization
In this study, we propose a method for encoding documents into string vectors, instead of numerical vectors. A traditional… 
2008
2008
Arabic Text Classification using K-NN and Naive Bayes
Highly Cited
2007
Highly Cited
2007
Cognitive Modules of an NLP Knowledge Base for Language Understanding
Resumen : Algunas aplicaciones del procesamiento del lenguaje natural, p.ej. la traduccion automatica, requieren una base de… 
Highly Cited
2005
Highly Cited
2005
Categorization Rehab Duwairi Department of Computer Information Systems , Jordan University of Science and Technology , Jordan
In this paper, we compare the performance of three classifiers for Arabic text categorization. In particular, the naïve Bayes, k… 
2004
2004
Fourier domain scoring: a novel document ranking method
Current document retrieval methods use a vector space similarity measure to give scores of relevance to documents when related to… 
Highly Cited
2003
Highly Cited
2003
Topic-based Vector Space Model
This paper motivates and presents the Topic-based Vector Space Model (TVSM), a new vector-based approach for document comparison… 
Highly Cited
2002
Highly Cited
2002
A Text Categorization Perspective for Ontology Mapping
This position paper addresses the problem of ontology mapping which is pervasive in context where semantic interoperability is… 
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