Piao, Scott and Rea, Brian and McNaught, John and Ananiadou, Sophia (2010) Improving full text search with text mining tools. In: Natural language processing and information systems. Lecture Notes in Computer Science . Springer, Berlin, pp. 301-302. ISBN 9783642125492Full text not available from this repository.
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.
|Item Type:||Contribution in Book/Report/Proceedings|
|Uncontrolled Keywords:||Information Retrieval ; Full Text Search ; Term extraction ; Termine ; Document clustering ; Natural Language processing|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||25 Nov 2011 11:14|
|Last Modified:||24 Jan 2017 02:32|
Actions (login required)