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Levenshtein Distance

 

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  • Product Description
 

In database record linkage or natural language processing tasks one usually encounters problems when working with data or texts containing noise, typos and other kinds of errors. In this thesis the use of modified Levenshtein edit distances to deal with these problems is investigated. For the task of linking distinct records representing the same entity in a database we used and extended the WEKA API for Machine Learning, obtaining good precision and recall results. For the task of searching and annotating occurrences of specified words in texts written in natural language we implemented an approximate Gazetteer for GATE, the General Architecture for Text Engineering.

Product Specifications
SKU :COC22283
AuthorBruno Woltzenlogel Paleo
LanguageEnglish
BindingPaperback
Number of Pages96
Publishing Year2010-04-06T00:00:00.000
ISBN978-3838362434
Edition1 st
Book TypeComputer networking & communications
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-28 00:00:00