Natural Language Processing (Part 2): Data Cleaning & Text Pre-Processing in Python

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: github.com/adashofdata/nlp-in...

[@justinhuang8034]

this was so clear...i wish i found this 2 months before i started my NLP project lol

[@rubyjiang8836]

I love your explanations! Please do more data science videos!

[@okwuazuifeanyi9825]

You are the best teacher I’ve seen on this platform. Thank you 🙏

[@chrisogonas]

Well illustrated! Thanks for putting this together, Alice.

[@Patriotpak1947]

Great Work Alice .........keep posting these videos of NLP ....you are the only one on KZbin that make sense. Love <3

[@semidevilz]

AWESOME and one of the best explanations out there! would love to see you continue with more videos

[@zoeyxster]

this is good! was literally falling asleep with the other youtube videos on this topic, then yours came on! excellent! thanks.

[@coolsteven2]

This was so clear and useful. We need more teachers like you!

[@mattwarr123]

Very helpful! Thanks!

[@angelazhang9082]

Amazing explanations! Thank you!

[@brunodonascimentomaciel9984]

Very good quality content.

[@kavindudananjaya3290]

Wow you are THE best tutor for ML. Thank you so much

[@AbuQassim2008]

This is amazing.. thanks alot ⚘

[@abhishek-shrm]

Great explanation. Please grow your channel and make more videos.

[@shivaanshparmar730]

great work really!!!

[@kevinluna5786]

Muchas gracias!

[@supergogetaSS4return]

Well explained!

[@mdsdn]

hey great videos you got here but i have a question, so basically i need to semantically compare two sentences, say for example i receive a query and then compare it to a sample of phrases that i have to return the phrase that resembles the query the most. Any recommendations that you have for me?

[@alexandergarcia-yo6kw]

you are amazing!

[@rutujakonde7950]

Your just awsome