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 textanalytics 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 nontokenized languages such as Chinese and Japanese
Who this book is for
Table of Contents
Care and Feeding of Simple Classifiers
Finding ?Words?
Working with Words and Phrases Alone
Linguistically Suspect Issues: Document Parsing and Data Bases
Thing Spotting/Tracking
Signal Recovery and Clustering
Working with the State of the Industry Technologies