Bookbot

Building Search Applications

Lucene, LingPipe, and Gate

Parametry

  • 448 stron
  • 16 godzin czytania

Więcej o książce

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.

Zakup książki

Building Search Applications, Manu Konchady

Język
Rok wydania
2008
Oprawa
(miękka)
Jak tylko się pojawi, wyślemy Ci wiadomość e-mail.

Metody płatności

Nikt jeszcze nie ocenił.Oceń

Tytuł
Building Search Applications
Podtytuł
Lucene, LingPipe, and Gate
Język
angielski
Rok wydania
2008
Oprawa
miękka
Liczba stron
448
ISBN10
0615204252
ISBN13
9780615204253
Seria
Tagi
Opis
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.