Natural Language Processing (Master on Data Science, KSchool)

This repo contains the NLP materials for the 4th edition of the Data Science Master at KSchool.

Topics

• Introduction to NLP
• Unix Command Line Tools to Process Text
• NLTK: Access to Corpora and Linguistic Resources
• NLTK: Part-of-Speech Tagging
• NLTK: Parsing
• TextBlob: NLP
• Space Vector Models
• Word Embeddings

MOOCs, Courses and Other Materials

• Introduction to Natural Language Processing.

• Some years ago, Manning & Jurafsky organized a course on NLP at Coursera. There are some slides and videos.

• Stanford NLP (materiales)

• Programming for Linguists (and fellow travelers) (materiales)

• Oxford Deep NLP

Books and Further Readings

• Dan Jurafsky and James H. Martin. Speech and Language Processing

• Chris Manning and Hinrich Schütze, Foundations of Statistical Natural Language Processing

• Steven Bird, Ewan Klein, and Edward Loper. Natural Language Processing with Python

• Jacob Perkins. Python 3 Text Processing with NLTK 3 Cookbook

• The Stupidity of Computers

• NLP (almost) from scratch

• The Two Paths from NLP to AI

• Natural Language Processing Key Terms, Explained

Resources

• Awesome NLP

• Awesome Spanish NLP

• Awesome Data Science

• WordNet

• Multilingual Central Repository (Spanish WordNet)

• SentiWordNet

• Pre-trained word vectors by fastText

NLProc APIs

• Cloud Natural Language API

• IBM's Watson API

• MeaningCloud API

• MonkeyLearn

• Mashape's Market on Natural Language

Readings on Neural Networks

• Christopher Olah's blog on Neural Networks , specially the post on Deep Learning, NLP, and Representations

• Hacker's guide to Neural Networks

• The Unreasonable Effectiveness of Recurrent Neural Networks (code repo)

• CS224d: Deep Learning for Natural Language Processing

• Understanding Natural Language with Deep Neural Networks Using Torch

• Deep Learning for NLP (without magic)