Comparative Study on Extraction of Keywords Using Salton Buckley and Clustering of Correlation

Keywords are index terms that contain most important information. Keyword extraction is considered as the processing for text documents. Keyword extraction is a process by which a short list of keywords is extracted out from the documents. This brings the advantage of reaching the information sources in a quick way. In this paper, keywords are extracted from the document collections to improve the effectiveness of Information Retrieval. Keyword extraction can help people quickly find hot spots on the web, since keywords in a document provide important information about the content of the document. We develop a keyword extraction method using correlation and Salton Buckley method. Documents containing keywords are identified in correlation are better than Salton Buckley method. Experimental result carries out the performance of best way extraction of keywords.