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Improving Full Text Search with Text Mining Tools

Research output: Contribution to journalJournal article

Published

Journal publication date2010
JournalLecture Notes in Computer Science
Volume5723/2010
Number of pages2
Pages301-302
Original languageEnglish

Abstract

Today, academic researchers face a flood of information. Full text search provides an important way of finding useful information from mountains of publications, but it generally suffers from low precision, or low quality of document retrieval. A full text search algorithm typically examines every word in a given text, trying to find the query words. Unfortunately, many words in natural language are polysemous, and thus many documents retrieved using this approach are irrelevant to actual search queries.