Phrase identification using frequencies is employed in text mining studies. In this work, we propose that all phrases occur in a document are not equal as the semantic relevance between the phrases and text varies. We proposed to identify the relevance of phrases in natural language texts using phrase weights. The pilot study results are worth to investigate further. © 2013 IEEE.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@28b5dda8 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@3beb5579 Through org.apache.xalan.xsltc.dom.DOMAdapter@573899aa; Conference Code:101576
Sa Sarasvady, Vijayakumar, Pb, and Jocabs, Dc, “Mining and computing phrase weight in texts”, in 2013 3rd International Conference on Innovative Computing Technology, INTECH 2013, London, 2013, pp. 371-374.