Jumat, 07 September 2012

[N232.Ebook] PDF Download Natural Language Processing with Java and LingPipe Cookbook, by Breck Baldwin, Krishna Dayanidhi

PDF Download Natural Language Processing with Java and LingPipe Cookbook, by Breck Baldwin, Krishna Dayanidhi

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Natural Language Processing with Java and LingPipe Cookbook, by Breck Baldwin, Krishna Dayanidhi

Natural Language Processing with Java and LingPipe Cookbook, by Breck Baldwin, Krishna Dayanidhi



Natural Language Processing with Java and LingPipe Cookbook, by Breck Baldwin, Krishna Dayanidhi

PDF Download Natural Language Processing with Java and LingPipe Cookbook, by Breck Baldwin, Krishna Dayanidhi

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Natural Language Processing with Java and LingPipe Cookbook, by Breck Baldwin, Krishna Dayanidhi

Over 60 effective recipes to develop your Natural Language Processing (NLP) skills quickly and effectivelyAbout This Book

  • Build effective natural language processing applications
  • Transit from ad-hoc methods to advanced machine learning techniques
  • Use advanced techniques such as logistic regression, conditional random fields, and latent Dirichlet allocation
Who This Book Is For

This book is for experienced Java developers with NLP needs, whether academics, industrialists, or hobbyists. A basic knowledge of NLP terminology will be beneficial.

What You Will Learn
  • Master a broad range of classification techniques for text data
  • Track people, concepts, and things in data, within and across documents
  • Understand the importance of evaluation in creation of NLP applications and how to do it
  • Yield best practices for common text-analytics problems
  • Tune systems for high performance and trade off various aspects of the performance curve
  • Become a master in customizing NLP systems at all levels
  • Build systems for non-tokenized languages such as Chinese and Japanese
In Detail

NLP is at the core of web search, intelligent personal assistants, marketing, and much more, and LingPipe is a toolkit for processing text using computational linguistics.

This book starts with the foundational but powerful techniques of language identification, sentiment classifiers, and evaluation frameworks. It goes on to detail how to build a robust framework to solve common NLP problems, before ending with advanced techniques for complex heterogeneous NLP systems.

This is a recipe and tutorial book for experienced Java developers with NLP needs. A basic knowledge of NLP terminology will be beneficial. This book will guide you through the process of how to build NLP apps with minimal fuss and maximal impact.

  • Sales Rank: #2074163 in Books
  • Published on: 2014-11-25
  • Released on: 2014-11-28
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x .71" w x 7.50" l, 1.19 pounds
  • Binding: Paperback
  • 312 pages

About the Author

Breck Baldwin

Breck Baldwin is the Founder and President of Alias-i/LingPipe. The company focuses on system building for customers, education for developers, and occasional forays into pure research. He has been building large-scale NLP systems since 1996. He enjoys telemark skiing and wrote DIY RC Airplanes from Scratch: The Brooklyn Aerodrome Bible for Hacking the Skies, McGraw-Hill/TAB Electronics.



Krishna Dayanidhi

Krishna Dayanidhi has spent most of his professional career focusing on Natural Language Processing technologies. He has built diverse systems, from a natural dialog interface for cars to Question Answering systems at (different) Fortune 500 companies. He also confesses to building those automated speech systems for very large telecommunication companies. He's an avid runner and a decent cook.

Most helpful customer reviews

1 of 1 people found the following review helpful.
LingPipe simplified!
By Sujit Pal
LingPipe is a Natural Language Processing (NLP) library that is released under a dual commercial and an open-source AGPL license, and the basis for a NLP consulting company (Alias-I) that one of the authors (Breck Baldwin) founded. In fact, the preface of the book states that some of the recipes in this book come from Breck's private repository. This book is the first one devoted exclusively to LingPipe. While LingPipe provides comprehensive Javadocs and tutorials on its website, but it is fairly dense material (NLP is hard!) - the book is an easier, gentler way to understand it.

One other reason LingPipe's API is so dense (even compared to other Java NLP libraries) is because it is written for performance, making heavy use of encapsulation to wrap common tasks and the visitor pattern to consume data in streaming mode. The book does a good job explaining the latter pattern in some depth, and deconstructing the code examples so the former becomes more obvious. The book also covers class hierarchies of common NLP components (and their functionality) such as tokenizers and classifiers, which also helps in understanding the API.

LingPipe is a mature library and has components to do just about anything - notably tokenizers, classifiers (Naive Bayes, MaxEnt), Chunkers (HMM, CRF, rule based), clusterers (Single Link, Complete Link, LDA), etc. The book covers the use of these components through novel recipes, through which the authors share their NLP insights and experience with the reader. If you are serious about using LingPipe to solve your NLP problems and you don't have access to their consulting services (or even if you do), this book can help you get there.

The code examples are an integral part of the book, do download the code and run them and edit the code as you read the book. It aids in understanding the material and the code can serve as templates for your own work later. It would have been nice if a build script was provided with the code download, currently you are expected to build your code using your IDE.

There are a few typos in the book, but all fairly minor and unlikely to distract from your understanding. Overall, I thought it was a well-written and useful book which is long overdue. Not only did I learn a lot more about LingPipe than I previously knew, the book also gave me some ideas about how to go about solving some problems.

DISCLAIMER: I didn't purchase this book, PackT was looking for reviewers and I requested a review copy because I was interested in the subject.

1 of 1 people found the following review helpful.
One of the best book for NLP with JAVA & LingPipe NLP is ...
By Rakesh Verma
One of the best book for NLP with JAVA & LingPipe
NLP is at the core of web search, intelligent personal assistants, marketing, and much more, and LingPipe is a toolkit for processing text using computational linguistics.
This book starts with the foundational but powerful techniques of language identification, sentiment classifiers, and evaluation frameworks. It goes on to detail how to build a robust framework to solve common NLP problems, before ending with advanced techniques for complex heterogeneous NLP systems.
This is a recipe and tutorial book for experienced Java developers with NLP needs. A basic knowledge of NLP terminology will be beneficial. This book will guide you through the process of how to build NLP apps with minimal fuss and maximal impact.

1 of 1 people found the following review helpful.
As described, it's a cookbook full of LingPipe recipes
By Christopher Nguyen
Overall, the book delivers on its premise as a cookbook. It’s best suited for experienced Java developers with an understanding of some NLP concepts, like tokenization, classification, and sentiment analysis. However, it skips the theory and focuses on how to use LingPipe to solve NLP problems. The LingPipe documentation is good for understanding the API and how it works, but this book is good for learning how to get things done.

Each “recipe” follows a simple format:
(1) How to do it
(2) How it works

This format makes it really easy to understand how to use the LingPipe API to solve a specific problem. Additionally, the book comes with sample code, which is really an integral part of the book. The “how to do it” section of each recipe tells you how you would approach the problem, whereas the “how it works” section describes how the solution works. Together, I think the recipes provide an approachable way to learn about LingPipe. If you’re interested in using LingPipe and the documentation is overwhelming, this book is worth a read.

See all 4 customer reviews...

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