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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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/
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More About the Author
Manu Konchady is a developer working with open source text processing tools. He received his PhD in Information Technology from George Mason University and has written several articles and a book about text mining. Earlier, he worked at IBM, NASA, and the Mitre Corporation. He is a Sun certified Java programmer and is a frequent speaker at the Foss.in conferences.
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11 of 11 people found the following review helpful:
5.0 out of 5 stars
An excellent discussion of the topic with plenty of example source code,
By
This review is from: Building Search Applications: Lucene, LingPipe, and Gate (Paperback)
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.
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Excellent read that is not for beginners,
By mr z (San Francisco, CA) - See all my reviews
This review is from: Building Search Applications: Lucene, LingPipe, and Gate (Paperback)
This books provides a great deal of information about building search applications. However, you won't find it useful unless you know at least something about information retrieval. I still give it five starts because the material provided in the book is spot on. If you have a background in information retrieval and want to create next Solr, this book is for you.
Folks who are just starting out or who are interested in operational and theoretical areas of search -- e.g. fault tolerance, scaling, performance, rank tuning -- may not find this book interesting.
3 of 5 people found the following review helpful:
4.0 out of 5 stars
Good but..,
This review is from: Building Search Applications: Lucene, LingPipe, and Gate (Paperback)
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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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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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, Naïve 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 Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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, Naïve 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 Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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