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Keyword extraction

Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document. Key phrases, key terms, key… Expand
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Papers overview

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Highly Cited
2016
Highly Cited
2016
Text classification is a domain with high dimensional feature space.Extracting the keywords as the features can be extremely… Expand
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Highly Cited
2010
Highly Cited
2010
Keywords, which we define as a sequence of one or more words, provide a compact representation of a document’s content. Ideally… Expand
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Highly Cited
2009
Highly Cited
2009
This paper explores several unsupervised approaches to automatic keyword extraction using meeting transcripts. In the TFIDF (term… Expand
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Highly Cited
2008
Highly Cited
2008
Keywords are subset of words or phrases from a document that can describe the meaning of the document. Many text mining… Expand
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Highly Cited
2008
Highly Cited
2008
In this paper, we introduce and compare between two novel approaches, supervised and unsupervised, for identifying the keywords… Expand
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Highly Cited
2007
Highly Cited
2007
Keywords can be considered as condensed versions of documents and short forms of their summaries. In this paper, the problem of… Expand
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Highly Cited
2007
Highly Cited
2007
Keywords characterize the topics discussed in a document. Extracting a small set of keywords from a single document is an… Expand
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Highly Cited
2006
Highly Cited
2006
This paper is concerned with keyword extraction. By keyword extraction, we mean extracting a subset of words/phrases from a… Expand
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Highly Cited
2003
Highly Cited
2003
In this paper, experiments on automatic extraction of keywords from abstracts using a supervised machine learning algorithm are… Expand
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Highly Cited
2003
Highly Cited
2003
We present a new keyword extraction algorithm that applies to a single document without using a corpus. Frequent terms are… Expand
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