Tutorial on Modern Practical Natural Language Processing
There are four videos and Jupyter notebooks that cover how to categorize and find similar documents, visualize vectors, and write (meaningless) stories.
natural-language-processing code tutorial

This course will cover how you can use NLP to do stuff.

  1. Overview and Converting Text to Vectors
    • For finding similar documents
    • "I have this document or text, what others talk about the same stuff?"
    • Video
  2. Learning with Vectors and Classification
    • For classifying documents
    • "I need to put these documents into buckets."
    • Video
  3. Visualizing
    • For seeing what document vectors look like in 3D space
    • "I need to quickly see what looks similar to what."
    • Video
  4. Sequence Generation and Extracting Pieces of Information from Text
    • For translation and document summarization, and for pulling out sentences and documents that talk about specific things
    • "I need every mention of a street address or business in Garland, Texas; and I need each document translated to Urdu."
    • Video

Don't forget to tag @jmugan in your comment, otherwise they may not be notified.

Authors original post
AI and machine learning. Principal scientist at DeUmbra and author of The Curiosity Cycle.
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