Getting machines to understand the human language has been a common goal in the era of modern computing. The rise of Big Data requires the use of integrated machine learning and NLP technologies to make sense of unstructured and unanalyzed data. NLP is at the core of web search, intelligent personal assistants, marketing, and much more, and LingPipe is a tool kit for processing text using computational linguistics.
This book starts by covering the foundational but powerful techniques for language identification, sentiment classifiers, and evaluation frameworks. It then goes on to detail how to build a robust framework for solving common NLP problems, before ending with a master class in how to utilize advanced and state-of-the-art industry techniques for complex heterogeneous NLP systems.
