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… (More)
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Papers overview

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Review
2017
Review
2017
Although semi-supervised variational autoencoder (SemiVAE) works in image classification task, it fails in text classification… (More)
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Highly Cited
2016
Highly Cited
2016
We propose a hierarchical attention network for document classification. Our model has two distinctive characteristics: (i) it… (More)
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Highly Cited
2009
Highly Cited
2009
Article history: Received 14 February 2008 Received in revised form 21 November 2008 Accepted 6 March 2009 Available online 8 May… (More)
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Highly Cited
2007
Highly Cited
2007
Automated document retrieval and classification is of central importance in many contexts; our main motivating goal is the… (More)
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Highly Cited
2003
Highly Cited
2003
Machine learning for text classification is the cor nerstone of document categorization, news filtering, document routing, and… (More)
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Highly Cited
2001
Highly Cited
2001
We implemented versions of the SVM appropriate for one-class classification in the context of information retrieval. The… (More)
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Highly Cited
2000
Highly Cited
2000
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training… (More)
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Highly Cited
2000
Highly Cited
2000
In recent years we have seen a tremendous growth in the volume of text documents available on the Internet, digital libraries… (More)
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Highly Cited
1998
Highly Cited
1998
Recent approaches to text classification have used two different first-order probabilistic models for classification, both of… (More)
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Highly Cited
1963
Highly Cited
1963
, Starting with a collectien of 405 document abstracts dealing with computers, the experiment in automatic document… (More)
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