Graph-Based Keyword Extraction is a keyword extraction method that represents textual content as a graph structure, where nodes denote candidate keywords and edges encode semantic or syntactic relationships, distinguishing it from other methods by leveraging graph-theoretical algorithms to identify central or influential nodes as keywords.
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2017–2026
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Publications
65
Bidirectional expansion for keyword search on graph databases
Varun Kacholia, Shashank Pandit, Soumen Chakrabarti et al. · 2005 · 480 citations
Unsupervised approaches for automatic keyword extraction using meeting transcripts
Feifan Liu, Deana L. Pennell, Fei Liu et al. · 2009 · 198 citations · Full text
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Institutions
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University of Rijeka
Rijeka, Croatia
3 h-index
8 publications
599 citations
China University of Geosciences
Wuhan, China
3 h-index
13 publications
283 citations
University of Fribourg
Fribourg, Switzerland
2 h-index
2 publications
35 citations
Nanjing University
Nanjing, China
2 h-index
3 publications
110 citations
University of Science and Technology of China
Hefei, China
2 h-index
10 publications
183 citations
Cardiff University
Cardiff, United Kingdom
2 h-index
4 publications
63 citations
China Three Gorges University
Yichang, China
2 h-index
2 publications
53 citations
George Washington University
Washington, United States
2 h-index
4 publications
200 citations
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- Expert Systems with Applications
3 publications · 160 citations
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- arXiv (Cornell University)
Repository · 3 publications · 94 citations
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- Scientometrics
3 publications · 77 citations
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- IEEE Access
2 publications · 48 citations
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- Ore Geology Reviews
2 publications · 53 citations
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