vitojph/kschool-nlp

NLP materials for the Data Science master at KSchool

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)