Multifeature Fusion Keyword Extraction Algorithm Based on TextRank

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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Bibliographic Details
Main Authors: Wenming Guo, Zihao Wang, Fang Han
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Keyword extraction
BERT word vector
K-Truss graph
TextRank
semantics
Online Access:https://ieeexplore.ieee.org/document/9815884/

Internet

https://ieeexplore.ieee.org/document/9815884/

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