Natural Language Processing - Tokenization (NLP Zero to Hero - Part 1)

In this first lesson we’ll talk about how to represent words in a way that a computer can process them, with a view to later training a neural network to understand their meaning.

[jawadmansoor]

Such a great lecture on NLP wow. I wish I had found it when it was uploaded, saving me two years.

[CodeYou]

Simple and straight to the point I love it!

[TheAdamSmithh]

Thank you so much! This is so informative, so quickly, in well structured lessons. I'm using a TensorFlow package for R and this helps me understand my project so much better!

[chiomaanyiam]

Wow! Thank you for breaking this down in such an easy way.

[muhammadhananasghar]

Best Explanation Ever. Best Sir I had ever listened

[asadanees]

Thanks Laurence Moroney are blessing for us! Awesome information

[chowadagod]

I've always been discouraged learning NLP ..But you've just made it a whole lot easier

[rabadaba]

I love your videos! They are very professional and concepts are very clearly explained.

[lan]

If you are confused like I was why love receive index 1 then go to the end of that video where it's explained:

Machine Learning Foundations: Ep #8 - Tokenization for Natural Language Processing

[coded]

This is a godsend.











No other definition is possible.

[singhanubhav]

For NLP freshers - this video is more about encoding than being about tokenization itself. Read about both topics separately before going through this video to better understand it.

[nishalk]

Thanks for making it clear waiting for the next one

[Idontknowcode]

Thanks you made it so easy for me to understand nlp 🙏

[mattymallz]

Fantastic video! Very informative. Thank you for sharing TensorFlow!

[srikrithibharadwaj]

Thank u so much 🙏🏻 such a great information.

[kelvinsmith]

Lol, you explained this so well that it made me want to implement my own library for tokenization

[biswanthpinnika]

we can also use tokenization for converting sentences to words

[sharawyabdul]

Thank u so much, This is very well explained.

[rajiv]

think you so much sir for grate videos

[sunildingankar]

I was working in Marathi (Indian regional language) language for last 20 odd years. Since last 8 years I am working as a writer-translator. If I learn NLP, will I be able to combine Marathi linguistic skills and NLP skills in practical use? If yes, how it will be and where can I use it?