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Building Search Applications: Lucene, LingPipe, and Gate (Paperback)

by Manu Konchady (Author)
Key Phrases: sentiment analysis, sample rows, sentence extraction, Searching Text, Organizing Text, Indexing Text (more...)

4.5 out of 5 stars See all reviews (2 customer reviews)

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Introduction to Information Retrieval by Christopher D. Manning
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Editorial Reviews

Review
Bob Carpenter, Natural Language Scientist, Alias-i.com

It takes a reader that knows Java, but nothing at all about search or associated text processing algorithms, and provides a hands-on, step-by-step guide for building a state-of-the-art search engine. -- http://lingpipe-blog.com/

Product Description
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. Use LingPipe and Gate to find the meaning of text to make search applications more useful.

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
- Detect plagiarism of documents using a registered document collection.

Product Details

Paperback: 448 pages
Publisher: Mustru Publishing; First edition (June 2008)
Language: English
ISBN-10: 0615204252
ISBN-13: 978-0615204253
Product Dimensions: 9.6 x 7.5 x 0.9 inches
Shipping Weight: 1.4 pounds (View shipping rates and policies)

Average Customer Review: 4.5 out of 5 stars See all reviews (2 customer reviews)

Amazon.com Sales Rank: #94,180 in Books (See Bestsellers in Books)
Popular in these categories: (What's this?)
#62 in Books > Computers & Internet > Databases > Data Mining
#74 in Books > Computers & Internet > Home Computing > Internet > Online Searching

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Inside This Book (learn more)

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
sentiment analysis, sample rows, sentence extraction, text extraction, carbon trading, web structure, filtering queries, plagiarism detection, synset relationships, relative similarity measure, subjectivity classifier, tagger model, search engine administrator, sentence extractor, composite tokens, sentiment analyzer, subjective sentences, entity extractor, complete link clusters, term vector model, merge factor, tokenize text, ngram size, scatter score, alternate queries

Key Phrases - Capitalized Phrases (CAPs): (learn more)
Searching Text, Organizing Text, Indexing Text, Tokenizing Text, Tagging Text, Future Directions, New York, Tracking Information, Lucene Analyzer, Building Clusters, Lucene Figure, Gate Tokenizer, South Carolina, Na�ve Bayes, State of the Union, Searching the Index, Iraq War, The Gate, Generated Output, Creating Clusters, Database Backed Index, Gate Gate, Pdf Handler, Date Fields, White House

What Do Customers Ultimately Buy After Viewing This Item?

	65% buy the item featured on this page: Building Search Applications: Lucene, LingPipe, and Gate 4.5 out of 5 stars (2) $40.45
	12% buy Lucene in Action (In Action series) 4.2 out of 5 stars (20) $29.67
	9% buy Introduction to Information Retrieval 4.3 out of 5 stars (9) $48.00
	9% buy Collective Intelligence in Action 4.7 out of 5 stars (15) $29.69

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Customer Reviews

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4.5 out of 5 stars (2 customer reviews)

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3 of 3 people found the following review helpful:

5.0 out of 5 stars An excellent discussion of the topic with plenty of example source code, April 19, 2009

By	Fayyazuddin A. Syed "Downtown Toronto" (Toronto, ON Canada) - See all my reviews (REAL NAME)

Unfortunately, there are not too many books written on the subject of Information Retrieval as it relates to Java programming, and thankfully, Mr.Konchady's contribution is an excellent resource. It provides a nice balance between the discussion of the theory of Information Retrieval, and providing concrete examples in Java, using Lucene, LingPipe, and Gate (API's for Information Retrieval used in Java). I personally had only heard of Lucene before coming across this book, and was very thankful to learn of the other two (LingPipe, and Gate) afterwards. The book shows the user how to use the above API's together when building an application, which is a great learning opportunity for the reader, because most tutorials available for Lucene, LingPipe, or Gate that you'll find online show you how to use that particular API only, instead of showing you how to use it in conjunction with others to truly harness the power of Information Retrieval with Natural Language Processing, together. The other very nice thing about this book is that the author also introduces the reader to other tools (such as Nutch, WordNet, etc.) that allows the user to provide advanced functionality, without "re-inventing the wheel". This book is a must read for anyone who is serious about learning to develop applications involving Information Retrieval.

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0 of 1 people found the following review helpful:

4.0 out of 5 stars Good but.., May 14, 2009

By	Songkran Thongsawang - See all my reviews (REAL NAME)

This is a good book to create search application. However, it is not easy enough for newbies. You need to have some experience and familiar enough with Lucene and related packages.

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