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Building Search Applications : Lucene, Lingpipe, and Gate: A Practical Guide to
US $40.99
ApproximatelyS$ 52.80
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Condition:
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Shipping:
US $5.22 (approx S$ 6.72) USPS Media MailTM.
Located in: Mountain View, California, United States
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Estimated between Sat, 4 Oct and Tue, 7 Oct to 94104
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eBay item number:257131315330
Item specifics
- Condition
- ISBN
- 9780615204253
About this product
Product Identifiers
Publisher
Mustru Publishing
ISBN-10
0615204252
ISBN-13
9780615204253
eBay Product ID (ePID)
71677042
Product Key Features
Number of Pages
447 Pages
Publication Name
Building Search Applications : Lucene, Lingpipe, and Gate: A Practical Guide to Building Search Applications Using Open Source Software
Language
English
Publication Year
2008
Subject
Programming / Open Source, General, Web / Search Engines, Databases / Data Mining, Document Management
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Length
9.7 in
Item Width
7.4 in
Additional Product Features
Intended Audience
Trade
Synopsis
Lucene, LingPipe, and Gate are popular open source tools to build powerful search applications. Building Search Applications describes functions from Lucene that include indexing, searching, ranking, and spelling correction to build search engines.With this book you will learn to:Extract tokens from text using custom tokenizers and analyzers from Lucene, LingPipe, and Gate.Construct a search engine index with an optional backend database to manage large document collections.Explore the wide range of Lucene queries to search an index, understand the ranking algorithm for a query, and suggest spelling corrections.Find the names of people, places, and other entities in text using LingPipe and Gate.Categorize documents by topic using classifiers and build groups of self-organized documents using clustering algorithms from LingPipe.Create a Web crawler to scan the Web, Intranet, or desktop using Nutch.Track the sentiment of articles published on the Web with LingPipe.
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