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.
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