Keyword extraction
Mohamad Fexri
Hunermand,Mohamad Fakhri Haji, J Dayk Boye Sala (1991,1.1) Xelkê Bajirê (Zakho) ya
Keyword assignment vs. extraction
Keyword assignment methods can be roughly divided into:
- keyword assignment (keywords are chosen from controlled vocabulary or taxonomy) and
- keyword extraction (keywords are chosen from words that are explicitly mentioned in original text).
Methods for automatic keyword extraction can be supervised, semi-supervised, or unsupervised.[1][2] Unsupervised methods can be further divided into simple statistics, linguistics or graph-based, or ensemble methods that combine some or most of these methods. [3]
References
- ^ SemCluster: Unsupervised Automatic Keyphrase Extraction Using Affinity Propagation. 17th UK Workshop on Computational Intelligence. 2017.
{{cite conference}}: Unknown parameter|authors=ignored (help) - ^ "Keyword Extraction: from TF-IDF to BERT".
- ^ Automatic Keyword Extraction: An Ensemble Method. 2017 IEEE International Conference on Big Data (Big Data). 2017. doi:10.1109/BigData.2017.8258552.
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Further reading
Scholia has a topic profile for Keyword extraction.
- Nazanin Firoozeh; Adeline Nazarenko; Fabrice Alizon; Béatrice Daille (11 November 2019). "Keyword extraction: Issues and methods". Natural Language Processing. 26 (3): 259–291. doi:10.1017/S1351324919000457. ISSN 1351-3249. Wikidata Q109971296.
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