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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
2012
Highly Cited
2012
A high performance centroid-based classification approach for language identification
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… 
Review
2009
Review
2009
Subjectivity Detection in English and Bengali: A CRF-based Approach
With the proliferation of online reviews and sentiments the Web is becoming more and more useful and important information… 
Highly Cited
2008
Highly Cited
2008
Using Incremental PLSI for Threshold-Resilient Online Event Analysis
The goal of online event analysis is to detect events and track their associated documents in real time from a continuous stream… 
2008
2008
Arabic Text Classification using K-NN and Naive Bayes
Highly Cited
2007
Highly Cited
2007
Categorizer ) : Neural Network for Text Categorization
This research proposes a new neural network for text categorization which uses alternative representations of documents to… 
Highly Cited
2004
Highly Cited
2004
PoBOC: An Overlapping Clustering Algorithm, Application to Rule-Based Classification and Textual Data
This paper presents the clustering algorithm PoBOC (Pole-Based Overlapping Clustering). It has two main characteristics: the… 
Highly Cited
2003
Highly Cited
2003
Documents similarity measurement using field association terms
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… 
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