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lapolonio edited this page Jun 8, 2018 · 15 revisions

Welcome to the how-to-solve-NLP wiki!

Tutorials:

Walkthrough Code
How to solve 90% of NLP problems: a step-by-step guide Notebook
Tensorflow Vector Representation of Words
Google ML Course on Embedding Programming Excercise

Interactive Visualizations:

Libraries:

  • spacy - Industrial-Strength Natural Language Processing (2015) python
  • Stanford CoreNLP - Natural language software by Stanford NLP (2010) java
  • polyglot - Multilingual text (NLP) processing toolkit (Al-Rfou 2014) python
  • gensim - Topic modelling for humans (2009) python
  • fasttext - Library for efficient text classification and representation learning

Spacy:

Hard Problems (Despite the hype) (No out of the box solution):

  • Chat Bots
  • Question and Answering
  • Summarization
  • Story Generation
  • Fact Checking

Resources:

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