You will access a rich dataset annotated using a comprehensive range of linguistic data structures, and you will understand the main algorithm to analyze the content and structure of written communication. Packed with examples and exercises, Natural Language Processing in Python will help you: Extracting information from unstructured text, either to guess the topic or identify the "entity name" The analysis of linguistic structure in the text, including parsing and semantic analysis of linguistic access popular databases, including WordNet and treebanks Integrating techniques drawn from diverse fields such as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you are interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages - or if you just want to know to have a programmer perspective on the workings of human language - you will find a natural language processing with Python both interesting and very useful.