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Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit

Steven Bird, Ewan Klein, Edward Loper · 2 HN comments
HN Books has aggregated all Hacker News stories and comments that mention "Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit" by Steven Bird, Ewan Klein, Edward Loper.
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Amazon Summary
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: 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 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're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
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Hacker News Stories and Comments

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Here are some NLP classes:

* Oxford Deep NLP Lectures https://github.com/oxford-cs-deepnlp-2017/lectures

* Stanford Natural Language Processing with Deep Learning http://web.stanford.edu/class/cs224n/syllabus.html

* Georgia Tech Natural Language Understanding https://github.com/jacobeisenstein/gt-nlp-class

* Georgia Tech Deep Learning For NLP in PyTorch https://github.com/rguthrie3/DeepLearningForNLPInPytorch

And some books:

* Natural Language Processing with Python https://www.amazon.com/Natural-Language-Processing-Python-An...

* Foundations of Statistical Natural Language Processing https://www.amazon.com/Foundations-Statistical-Natural-Langu...

Wow, thanks for mentioning my blog! I got into this using "Natural Language Processing with Python", which is basically an intro textbook for NLP that uses NLTK.

I particularly like that they include example exercises in each chapter, because it can be otherwise challenging to see how particular techniques are useful.

https://www.amazon.com/Natural-Language-Processing-Python-An...

avyfain
This one is also available online for free: http://www.nltk.org/book/
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