Natural Language Processing with Java (Community Experience Distilled), by Richard M Reese
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Natural Language Processing with Java (Community Experience Distilled), by Richard M Reese
Read and Download Ebook Natural Language Processing with Java (Community Experience Distilled), by Richard M Reese
Explore various approaches to organize and extract useful text from unstructured data using Java
About This Book
- Integrate basic tasks to tackle more complex NLP problems
- Train NLP models to address domain-specific problem areas
- Learn to use a variety of core NLP techniques with this pragmatic guide
Who This Book Is For
If 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 Learn
- Develop a deep understanding of the basic NLP tasks and how they relate to each other
- Discover and use the available tokenization engines
- Implement techniques for end of sentence detection
- Apply search techniques to find people and things within a document
- Construct solutions to identify parts of speech within sentences
- Use parsers to extract relationships between elements of a document
- Integrate basic tasks to tackle more complex NLP problems
In Detail
Natural 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.
Natural Language Processing with Java (Community Experience Distilled), by Richard M Reese- Amazon Sales Rank: #929292 in Books
- Published on: 2015-03-27
- Released on: 2015-03-27
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .60" w x 7.50" l, 1.00 pounds
- Binding: Paperback
- 270 pages
About the Author
Richard M Reese
Richard M Reese has worked in both industry and academics. For 17 years, he worked in the telephone and aerospace industries, serving in several capacities, including research and development, software development, supervision, and training. He currently teaches at Tarleton State University, where he is able to apply his years of industry experience to enhance his classes. Richard has written several Java and C books. He uses a concise and easy-to-follow approach to topics at hand. His books include EJB 3.1 Cookbook; books about new features of Java 7 and 8, Java Certification, and jMonkey Engine; and a book on C pointers.
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Most helpful customer reviews
1 of 1 people found the following review helpful. Too little to be helpful By Forwhatitsworth The book is definitely an introduction - perhaps too light to do anything practical. There is very little in the book that isn't already published on the websites of the open source projects. Much of the source was snippets that were too short to get a feel for how to use the packages. Also, the author dances between several different OSS projects so it gets a bit confusing. I ultimately gave it two stars because the book doesn't really put the content into context.
1 of 2 people found the following review helpful. Great starting point for practical NLP systems By Amazon Customer It is a great book to start to learn programming NLP systems. I started with little experience with Java and NLPs in general but I did learn many things from this book: the basics of word and sentence tokenization, text classification and sentiment analysis, information extraction, parsing, meaning extraction, and question answering. This book will put would-be NLP programmers on their way to use the book’s code as the basis for their own software . Sometimes you won't get somethings when you first read but if you try the examples you will start to get what he is saying. One downside of the book is that some examples are focused on a single API( LingPipe, Apache OpenNLP or Stanford Parser) but I think they did that so you can think on your feet . From my point of view this book is worth every penny if you are programmer and you have to deal with software that needs to do some NLP.
0 of 1 people found the following review helpful. Definitely a great resource for starting out with parsing text By Jon Borgman Definitely a great resource for starting out with parsing text. The parts on tokenizers are very well done. Specifically the training of models and then using them was very helpful. What surprised me was the attention to the types of text parsed like what do you do when multiple acronyms and text speech are used. It does an amazing job at taking someone who is new to the subject and fills up your toolbox with tools and concepts that really give you a good picture or what / how to proceed.
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