Book Review: Natural Language Annotation for Machine Learning

Natural Language Annotation for Machine Learning

A Guide to Corpus-Building for Applications

By James Pustejovsky, Amber Stubbs

Publisher: O'Reilly Media

Final Release Date: October 2012

Pages: 342

    Do you want to learn what is the Natural Language Annotation(NLP)? Do you want to learn how to prepare your own training corpus for machine learning? So, this book it is what you need! This book guides you step by step through full annotation development cycle. You also don't need any experience in this area. This book there are a lot of practice's 

examples which you will start using from first chapter till the end of the book. 

   It will be better, if you have experience with Python. You also can read the book "Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper(O'Reilly) which provides an excellent introduction into Python and to aspect of Natural Language Annotation (NLP).

   I recommend to read this book for all who decides to start learning NLP and Machine Learning and also who uses it and wants to learn how to create their own corpuses for Machine Learning.