Description
This book offers a highly accessible introduction to natural language processing, the field that supports quite a few language technologies, from predictive text and email filtering to automatic summarization and translation. With it, You’ll be able to learn to write Python programs that work with large collections of unstructured text. You’ll be able to get right of entry to richly annotated datasets the use of a comprehensive range of linguistic data structures, and You’ll be able to be mindful the main algorithms for analyzing the content and structure of written communication.
Packed with examples and exercises, Natural Language Processing with Python will assist you to:
- Extract information from unstructured text, either to guess the topic or identify “named entities”
- Analyze linguistic structure in text, including parsing and semantic analysis
- Access popular linguistic databases, including WordNet and treebanks
- Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence
This book will assist you to gain practical skills in natural language processing the use of the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you are interested in developing internet applications, analyzing multilingual news sources, or documenting endangered languages — or If you are simply curious to have a programmer’s standpoint on how human language works — You’ll be able to find Natural Language Processing with Python both fascinating and immensely useful.