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TextRank Keyword Extraction Algorithm Using Word Vector Clustering Based on Rough Data-Deduction
2022
Computational Intelligence and Neuroscience
When TextRank algorithm based on graph model constructs graph associative edges, the co-occurrence window rules only consider the relationships between local terms. Using the information in the document itself is limited. In order to solve the above problems, an improved TextRank keyword extraction algorithm based on rough data reasoning combined with word vector clustering, RDD-WRank, was proposed. Firstly, the algorithm uses rough data reasoning to mine the association between candidate
doi:10.1155/2022/5649994
pmid:35126495
pmcid:PMC8808205
fatcat:homdrcg6t5hhfcxqfxvxutqt7q