Natural Language Processing (NLP) Resources

General NLP

• Comparison of Top 6 Python NLP Libraries - comparison of the most popular and helpful natural language processing libraries. From the comprehensive data science website, KDnuggets.
• How To Solve 90% Of NLP Problems: A Step-By-Step Guide - using Machine Learning to understand and leverage text.
• "Natural Language Processing is Fun!" - a detailed blog post with a theoretical explanation of NLP and implementation in Python.
• Document Clustering with Python - excellent guide to clustering a set of documents using Python.
• Guide to Understand & Implement Natural Language Processing (with codes in Python)
• Ultimate Guide to Deal with Text Data (Using Python) – For Data Scientists & Engineers
• Guide to Understand & Implement Natural Language Processing (with codes in Python)
• The Essential NLP Guide for Data Scientists (with codes for top 10 common NLP tasks)
• Machine Learning Guides - Text Classification - This comprehensive guide provides a walkthrough to solving text classification problems using machine learning. Learn the high-end workflow for text classification, how to choose the right model for your problem, and how to implement your model using TensorFlow.
• TF-IDF is about what matters - a tutorial on TF-IDF.
• Text Analytics with Python - a repo for the book with the same name.
  • Jupyter Notebooks with Code and Examples
• Natural Language Processing Nuggets: Getting Started with NLP - a collection of NLP resources for beginners from KDnuggets, starting from zero and slowly progressing to the point that readers should have an idea of where to go next.
• A Comprehensive Guide to Understand and Implement Text Classification in Python
• Datasets for Natural Language Processing - from Jason Brownlee's Machine Learning Mastery

Gensim

• Gensim Website - Gensim is a free Python library designed to automatically extract semantic topics from documents.
  • Gensim Introduction
  • Gensim Tutorials
  • Gensim API Reference
• Gensim GitHub Repo
  • Documentation and Jupyter Notebooks
  • Gensim Tutorials
  • Recipes & FAQ
• The DIY Guide to Gensim

Natural Language Toolkit (NLTK)

• Natural Language Toolkit - NLTK documentation.
  • Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit.
    • GitHub Repo - GitHub repo for the NLTK book, including code.
  • How To Guides
  • NLTK API
• NLTK GitHub Repo
  • NLTK Wiki
  • NLTK FAQ
• Dive Into NLTK, Part I: Getting Started with NLTK - the first article in a series of articles on working with NLTK.

SKLearn NLP

• SKLearn NLP Documentation:
  • CountVectorizer
  • HashingVectorizer
  • TF-IDF
• Working With Text Data - from scikit-learn Tutorials. "The goal of this guide is to explore some of the main scikit-learn tools on a single practical task: analysing a collection of text documents (newsgroups posts) on twenty different topics."
• Multi-Class Text Classification with Scikit-Learn - excellent blog post on text classification.

spaCy

• spaCy Website - spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python.
  • spaCy 101 - new to spaCy? Here's everything you need to know!
  • Usage Guides - how to use spaCy and its features.
  • spaCy Universe - libraries, extensions, demos, books and courses.
• spaCy GitHub Repo
  • Examples
• Getting Started with spaCy for Natural Language Processing
• Natural Language Processing Made Easy – using SpaCy (​in Python)
• Intro to NLP with spaCy - "an introduction to spaCy for natural language processing and machine learning with special help from Scikit-learn."

TextBlob

• TextBlob Website - TextBlob is a Python (2 and 3) library for processing textual data.
  • TextBlob Quickstart
  • Tutorial: Building a Text Classification System
  • Advanced Usage: Overriding Models and the Blobber Class
  • API Reference
• TextBlog GitHub Repo
• Natural Language Processing for Beginners: Using TextBlob
• Natural Language Basics with TextBlob - tutorial for TextBlob.