Natural Language Processing (Part 1): Introduction to NLP & Data Science




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This six-part video series goes through an end-to-end Natural Language Processing (NLP) project in Python to compare stand up comedy routines.

– Natural Language Processing (Part 1): Introduction to NLP & Data Science
– Natural Language Processing (Part 2): Data Cleaning & Text Pre-Processing in Python
– Natural Language Processing (Part 3): Exploratory Data Analysis & Word Clouds in Python
– Natural Language Processing (Part 4): Sentiment Analysis with TextBlob in Python
– Natural Language Processing (Part 5): Topic Modeling with Latent Dirichlet Allocation in Python
– Natural Language Processing (Part 6): Text Generation with Markov Chains in Python

All of the supporting Python code can be found here: https://github.com/adashofdata/nlp-in-python-tutorial

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Comment List

  • Alice Zhao
    January 8, 2021

    Amazing !

  • Alice Zhao
    January 8, 2021

    How to find polarity score using python

  • Alice Zhao
    January 8, 2021

    You are amazing, you have a clean systematic approach of teaching!, I have encouraged to watch the series from just the intro.
    Again, Thank you Alice

  • Alice Zhao
    January 8, 2021

    Thank you very much Alice. These Natural Language Processing Tutorials are just right for me!!! They gave me correct directions, to get straight in to, working on a project. Thank you again.

  • Alice Zhao
    January 8, 2021

    I’ve only just discovered your tutorials Alice and I think they’re excellent! Clearly explained and intuitive but at the same time addressing important math/stat concepts .. thx 🙂

  • Alice Zhao
    January 8, 2021

    your way of teaching is the most effective among all others I went through. I wish you have all series of machine learning methods besides SVM

  • Alice Zhao
    January 8, 2021

    Why did you stop making videos? Your videos are great. I would love to see more from you.

  • Alice Zhao
    January 8, 2021

    Te admiro! saludos desde Colombia!

  • Alice Zhao
    January 8, 2021

    Absolutely amazing tutorial. Instant subscriber! This is way higher quality than the other NLP videos out there.

  • Alice Zhao
    January 8, 2021

    This NLP video series is the best video series on Youtube.

  • Alice Zhao
    January 8, 2021

    Great teacher!

  • Alice Zhao
    January 8, 2021

    @Alice Zhao: I'm conducting research on risk reporting and I request your assitance to show me an application case of how I can carry out an LDA. Thank you very much for your precious videos and help.

  • Alice Zhao
    January 8, 2021

    Clear explanation. Thank you!!!

  • Alice Zhao
    January 8, 2021

    I am your follower. Are you on linkedin?

  • Alice Zhao
    January 8, 2021

    Just discovered this series of videos. Excellent, thanks a lot!!🙏💕

  • Alice Zhao
    January 8, 2021

    I love it when I find rare gems like these amongst the inexplicable mess of tutorials out there!

  • Alice Zhao
    January 8, 2021

    wow !!! what a great explanation !!! Thanks for sharing Alice

  • Alice Zhao
    January 8, 2021

    Please add other machine learning algorithoms

  • Alice Zhao
    January 8, 2021

    Clear and concise , looking for more of your great videos about some linear regression down the road. You are awesome!

  • Alice Zhao
    January 8, 2021

    Great Tutorial that I could have watched it….Thanks Alice Zhao you are great tutor/teacher….well explained video. I just completed my AI class and one part is all about NLP., I was totally blank and full of confusion during the class….I was browsing through many tutorial videos, but those are not as good as yours….that is what I said in the beginning i could have had this video ….anyway thanks a lot for this video…I like and i love it very much…..

  • Alice Zhao
    January 8, 2021

    Simple but more effective teaching. thanks mam

  • Alice Zhao
    January 8, 2021

    😍

  • Alice Zhao
    January 8, 2021

    The queen is back

  • Alice Zhao
    January 8, 2021

    I actually love you for this, I was just looking for material on data science and your last tutorials were fantastic. I'm glad to be your first comment. and this is material that I would be willing to pay for.

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