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Semantic Searching using NLP techniques

Sagar Ranadive

Abstract


World Wide Web is gthe largest information store in the world. Millionsof people use search engines to explore this information. Mostlythese search engines use keyword-based search mechanisms. These algorithms,however, fail to give relevant content and many users aretherefore not satisfied with the search results. Meaning based searchengines, on the other hand, perform better than the keyword-basedengines as they match similar semantics or meaning of the documents to search for relevant documents.Natural Language Processing techniques deal with automated generationand understanding the meaning of linguistic data. In this report we propose that these techniques can be used for information retrieval.We discuss the approaches used to implement semantic based searching and compare the results with the traditional keyword-based search engines.








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