A Novel Approach for Searching Linguistic Synonyms through Parts of Speech Tagging

Synonym-based searching is recognized to be a complicated problem; as text mining from unstructured data of web is challenging. Finding useful information which matches user need from the bulk of web pages is a cumbersome task. In this paper, a novel and practical synonym retrieval technique is proposed for addressing this problem. For replacement of semantics, user intent is taken into consideration to realize the technique. To realize this technique, pattern generation is taken into consideration with the help of Parts-of-Speech tagging and Web Scrapping. Two approaches were built i.e. Non-Context Based Searching, and Context-Based Searching while the latter technique proved to be a more efficient in dealing with intent-based linguistic semantics than the former one. The paper concludes with recommendations and future work by giving a new direction to natural language

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