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- W3039495566 abstract "In the past decade the keyword extraction phase is handled manually with the human resources. This procedure is time consuming and human error leads to uncertainty. On the other hand, Judgment cases the automatic keyword extraction leads to an extensive level of computational performance. This paper Graph based Enriched Keyword Extraction model, which undergoes three different process namely Pre-Processing, Representation of words in graph-based form and Keyword Extraction. Performance of this model evaluated using illustrative example. The result shows that the proposed model extracted keywords effectively and significantly compared with standard performance metrics and existing algorithms." @default.
- W3039495566 created "2020-07-10" @default.
- W3039495566 date "2020-07-02" @default.
- W3039495566 modified "2023-09-25" @default.
- W3039495566 title "GRAPH BASED ENRICHED KEYWORD EXTRACTION WITH NODE WEIGHT MECHANISM FOR CYBER CRIME JUDGEMENT DATABASE" @default.
- W3039495566 doi "https://doi.org/10.31838/jcr.07.13.124" @default.
- W3039495566 hasPublicationYear "2020" @default.
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