Natural Language Processing in Python

Alice Zhao

Natural language processing (NLP) is an exciting branch of artificial intelligence (AI) that allows machines to break down and understand human language. As a data scientist, I often use NLP techniques to interpret text data that I'm working with for my analysis. During this tutorial, I plan to walk through text pre-processing techniques, machine learning techniques and Python libraries for NLP.

Text pre-processing techniques include tokenization, text normalization and data cleaning. Once in a standard format, various machine learning techniques can be applied to better understand the data. This includes using popular modeling techniques to classify emails as spam or not, or to score the sentiment of a tweet on Twitter. Newer, more complex techniques can also be used such as topic modeling, word embeddings or text generation with deep learning.

We will walk through an example in Jupyter Notebook that goes through all of the steps of a text analysis project, using several NLP libraries in Python including NLTK, TextBlob, spaCy and gensim along with the standard machine learning libraries including pandas and scikit-learn.

## Setup Instructions

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A FREE annual conference for anyone interested in Python in and around Ohio, the entire Midwest, maybe even the whole world.

[usnyiir]

This is better than one semester NLP course I took.

[hxz]

zhao has a talent of explaining difficult concept to audiences. The majority of developers do not have that capability. Engineers tend to "learn-by-doing" which gets you to the destination fast but in such a hurry that one often do not have time to understand the why.

[brianshackelford]

This may be the best Python tutorial I've followed, and I've done quite a few. All of the concepts covered, even the very complex ones, are explained in a way that makes it super-easy to understand but detailed enough that I know what's happening. I learned a LOT from this. Thank you, Alice!!

[GoredGored]

Ms. Alice, after watching this lecture in my home office I stood up and applauded as if I watched a piece of art or an amazing movie. Thank you.

[nobodyeverybody]

After decades, finally I could see with my own eyes a real presenter and a nice clean presentation including every necessary topic, aspect and feeling. Great Job

[bilboswaggins]

This video is amazing! I really, really like how she goes through the cleansing process because data is almost never cookie cutter like we want it to be. Loved seeing all the steps laid out so methodically.

[nextclever]

In Love with Data Science,
Extremely good presentation,
Just Loved It,

[toben]

Great tutorial and great Ohio NLP initiative! Everything you need to know to delve into the awesome world of Data Science. Congrats Alice for the superclass!

[bhavulgauri]

This was super helpful. Thanks a lot!
Learnt about markov chains, sentiment analysis and LDA so beautifully!

Great great tutorial. Thanks a lot, again. God bless you. :)

[bendavidson]

Thank you for your presentation and materials. The tools taught are clear and easy to follow. I like your deliberate and relaxed teaching style. It is most helpful.

[werthersoriginal]

I love how she didn't shy away from the curse words. Basically, she was professional about it and everyone else including her were like "we're all adults here, and we have a goal we're trying to reach". I really enjoyed this video and her demo gave me a lot of little ideas for my projects. Thank you for uploading this!

[leonardogalindo]

OMG! By far, the best 2 hrs that I've spend in YouTube in the last years...
On behalf of this Data Scientist "in progress", Thank you so much for posting this content.

[alaaahmedusama]

Having watched Hassan's comedy special and knowing that the topic did involve a lot of talking about parents, I am really impressed with the topic identification feature of this!

[landryfossouo]

This is the best tutorial I ever had. it is simply amazing the method you use to explain something. Thank you very much. I really loved it!!

[manuelherrerahipnotista]

One of the best presentions I have seen in my lifetime! (and I have seen a lot) Clear, simple and to the point! Thanks

[nikkicheon]

This is the type of video i've been exactly looking for.

[kumarmyanmars]

Great lecture! Thank you very much for this, I wish this is how explanatory and patient all lecturers are.

[mattymallz]

I have been looking for a long time for a helpful tutorial that threads these subjects together! Thank you VERY MUCH. You're a great and comical teacher. Thanks again! you the bomb!

[salimmzoughi]

I have taken dozens of NLP courses (most of which are paid) and this is the most explained, organized and perfect course I have ever seen, thank you Alice.

[avikbal]

This is one of the best NLP tutorials I have gone through in a long while... Awesome pedagogy. She simply made it super intuitive for a newbie like me. Thanks a lot!