Keyword Mining and Co-Word Construction by Proposed Tagging, Statistical and Graph Based (TSG) Algorithm

Keyword mining, a challenging job in managing unorganized documents. Nowadays, tremendous amount of enrich information is available dynamically in the form of unstructured documents, organizing such a documents is the major challenge. Clustering the unstructured documents based on their concepts is the best and useful way to organize documents. Concept extraction plays the vital role in document clustering. Keyword mining is one of the best methods for concept extraction. In this research paper, TSG (Tagging, Statistical and Graph based) algorithm is proposed for keyword mining. This proposed algorithm integrates the influence of statistical and graphical techniques with tagging approach. This proposed algorithm awards 90% of accuracy.