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Natural Language Processing with Java
Explore various approaches to organize and extract useful text from unstructured data using JavaAbout This BookIntegrate basic tasks to tackle more complex NLP problemsTrain NLP models to address domain-specific problem areasLearn to use a variety of core NLP techniques with this pragmatic guideWho This Book Is ForIf you are a Java programmer who wants to learn about the fundamental tasks underlying natural language processing, this book is for you. You will be able to identify and use NLP tasks for many common problems, and integrate them in your applications to solve more difficult problems. Readers should be familiar/experienced with Java software development.
What You Will LearnDevelop a deep understanding of the basic NLP tasks and how they relate to each otherDiscover and use the available tokenization enginesImplement techniques for end of sentence detectionApply search techniques to find people and things within a documentConstruct solutions to identify parts of speech within sentencesUse parsers to extract relationships between elements of a documentIntegrate basic tasks to tackle more complex NLP problemsIn DetailNatural Language Processing (NLP) is an important area of application development and its relevance in addressing contemporary problems will only increase in the future. There has been a significant increase in the demand for natural language-accessible applications supported by NLP tasks.
Natural Language Processing with Java will explore how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. It covers concepts of NLP that even those of you without a background in statistics or natural language processing can understand.
What You Will LearnDevelop a deep understanding of the basic NLP tasks and how they relate to each otherDiscover and use the available tokenization enginesImplement techniques for end of sentence detectionApply search techniques to find people and things within a documentConstruct solutions to identify parts of speech within sentencesUse parsers to extract relationships between elements of a documentIntegrate basic tasks to tackle more complex NLP problemsIn DetailNatural Language Processing (NLP) is an important area of application development and its relevance in addressing contemporary problems will only increase in the future. There has been a significant increase in the demand for natural language-accessible applications supported by NLP tasks.
Natural Language Processing with Java will explore how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. It covers concepts of NLP that even those of you without a background in statistics or natural language processing can understand.
- GenresProgramming
264 pages, Kindle Edition
First published March 27, 2015
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Displaying 1 - 2 of 2 reviews
April 18, 2016
Just a bunch of examples how to use popular nlp libraries
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May 16, 2017 Looks interesting, but even after finding updated links to the JAR files (only mentioned in the book...), I seem unable to complile the source code. (It is not the "import..." statements but other parts of the code are marked as erroneous.)
Displaying 1 - 2 of 2 reviews



