• ANNS SEBASTIAN
• Dr Pushpalatha K.P

Automatic keyword extraction identifies the terms that best describe the subject of the document or else it describe salient features of the article. This paper introduce a keyword extraction algorithm using centroid graph from single document. Algorithm proposed a graph based approach to the centroid values. In addition to extraction algorithm, the paper make a comparative study of HITS and TextRank algorithm. The keywords are recursively evaluated according to the cohesion to the document context. Evaluation of algorithms based on the precision and recall of extracted keywords.

Automatic keyword extraction, MEAD, HITS, TextRank

"KEYWORD EXTRACTION USING CENTROID GRAPH AND WITH A STUDY OF TEXTRANK AND HITS ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.198-203, July-2018, Available :http://www.jetir.org/papers/JETIR1807034.pdf

"KEYWORD EXTRACTION USING CENTROID GRAPH AND WITH A STUDY OF TEXTRANK AND HITS ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp198-203, July-2018, Available at : http://www.jetir.org/papers/JETIR1807034.pdf