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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. ... Then, based on Wikipedia online open knowledge base, word embedding technology is used to integrate Word2Vec into the improved algorithm, and the word vector of TextRank lexical graph nodes is clustered ... that the TextRank algorithm using word vector clustering based on rough datadeduction and fusing with the Word2Vec model is more effective in extracting results. e TF-IDF algorithm based on statistical ...doi:10.1155/2022/5649994 pmid:35126495 pmcid:PMC8808205 fatcat:homdrcg6t5hhfcxqfxvxutqt7q
Based on the classical TextRank algorithm, this paper proposes an improved TextRank algorithm based on upper approximation rough data-deduction. ... According to the questionnaire of undergraduates' mental health issues, this paper uses keyword extraction to analyze the management and plan of undergraduates' mental health. ... Improved Algorithm Based on Rough Data-Deduction TextRank keyword extraction algorithm is a graph-based ranking algorithm, which is derived from Google's Pag-eRank algorithm  . ...doi:10.1155/2021/3361755 pmid:34745495 pmcid:PMC8568543 fatcat:givnb2zsr5btlo2hh52e27dvhi
Our proposed system ensures security based on elliptic curve cryptography algorithm for secure transmission of SMS between the healthcare entities. ... Qinlong etal presented a paper that uses broadcast encryption technique that are identity based, the encrypted health data of patients are outsourced on the cloud and are shared among the group of doctors ... SP-20 Keywords: Sink data, Cluster Base Routing protocol, Forward Aware Factor, Fuzzy Logic. ...doi:10.22376/ijpbs/10.sp01/oct/2019.1-142 fatcat:6fc5ghwmjbgrphetiablavajxm