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Research Proposals or Synopsis | Computer Science Engineering | Volume 3 Issue 7, July 2014 | Pages: 1356 - 1359 | India
Web Mining for Semantic Similarity between Words
Abstract: Semantic similarity is a context dependent and dynamic phenomenon. A train is semantically similar to a horse if the context is moving objects. On the otherhand if the context is living beings the same objects may not have any similarity. Finding semantic similarity has increasingly become important in many applications such as community mining, data clustering, relation extraction, query expansion and many natural language processing projects. The paper addresses the general framework for finding semantic similarity between words and its utility in the state of art web applications. It presents some empirical results using page count and snippet based methods on the web.
Keywords: semantic similarity, web mining, text mining, computational linguistics
How to Cite?: Shirajuddin A. Shaikh, Anis Fatima N. Mulla, "Web Mining for Semantic Similarity between Words", Volume 3 Issue 7, July 2014, International Journal of Science and Research (IJSR), Pages: 1356-1359, https://www.ijsr.net/getabstract.php?paperid=20141271, DOI: https://dx.doi.org/10.21275/20141271