Multifeature Fusion Keyword Extraction Algorithm Based on TextRank

Keyword extraction is the predecessor of many tasks, and its results directly affect search, recommendation, classification, and other tasks. In this study, we take Chinese text as the research object and propose a multi-feature fusion keyword extraction algorithm combined with BERT semantics and K-...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.71805-71813
Hauptverfasser:	Guo, Wenming, Wang, Zihao, Han, Fang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms BERT word vector Bit error rate Data mining Dictionaries Electronic mail Feature extraction Information retrieval Iterative methods K-Truss graph Keyword extraction Keywords Semantics Task analysis TextRank Trusses Words (language)
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