Measuring Semantic Similarity between Words using Page-Count and Pattern Clustering Methods

Provided by: International Journal of Innovative Technology and Exploring Engineering (IJITEE)
Topic: Data Management
Format: PDF
Web mining involves activities such as document clustering, community mining etc. to be performed on web. Such tasks need measuring semantic similarity between words. This helps in performing web mining activities easily in many applications. Despite the usefulness of semantic similarity measures in these applications, accurately measuring semantic similarity between two words remains a challenging task. In this paper to find the semantic similarity between two words it makes use of information available on the web and uses methods that make use of page counts and snippets to measure semantic similarity between two words.

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