Python Sentiment Analysis Project with NLTK and 🤗 Transformers. Classify Amazon Reviews!!

Timeline:
00:00 Intro
01:10 Setup + NLTK
10:44 VADER Model
23:42 RoBERTa Model
35:51 Compare Results

My other videos:

#nlp #python #machinelearning #huggingface

[nixonsebastian]

great content, this deserves a million views... {'roberta_neg': 0, 'roberta_neu': 0, 'roberta_pos': 100}😀

[Thikondrius]

I don't often left comments on youtube but, finally someone that explains everything from scratch...I am a JS developer. And it's really cool your that you explain every piece of code. That really helped, I was able to understand everything.

[atharvpatawar]

Huge thank you to you!!! I recently participated in a ML hackathon and they had sentiment analysis as one of their problem statements. I had watched your video prior to the competition and used hugging face whereas everyone else used the standard vader. I ended up getting the highest accuracy and placed first, all in my second year of engineering. Genuinely, can’t thank you enough for the information!

Team random_state42

[SaurabhSingh-oiev]

Your videos like gem to me learned a lot your use of modules packages are like cherry on cake. Currently I'm working as an Jr. Data scientist in KPMG but man oh man you taught me many things thank you 😊 🙏

[Nitesh]

Hey brother, you just provided the best NLP sentiment project, your channel deserve million+ subscriber, nd now I am just one new subscriber now to reach you there

[chairjacker]

I like the pace at which you teach this content it is relaxed and very enjoyable to watch for me.

[jerrywang]

Your channel is a gem, thanks so much for the free course.

[dgra]

You are my newly found Python mentor. Good content Rob

[alexthe]

I'll admit I watched this on two times speed, but those were the best spend 21 minutes of the day!
Very helpful and we'll explained!

[adityabhatt]

Thanks for posting the awesome tutorial. Would love to learn more from you.

[juan.o.p.]

Really interesting video. I've been following a lot of your tutorials lately and I must say that I really like the way you explain things, it's so easy to understand and follow along. Thank you!

[louie]

This may be the test tutorial on any language/library/app I have ever watched. One part, very concise and well explained. Thank you.

[mateusbalotin]

Amazing content man! Your channel and videos deserve a lot more attention. Hope you have an amazing week!!

[ayushapoorva]

great content, perhaps the best material I found on sentiment analysis in youtube!!!

[sootybuu]

This was a good tutorial. I'm trying to get my feet wet in data analytics and found myself overwhelmed while trying to read the NLTK documentation, so thanks for the structured guidance.
I'm working on analyzing sentiment across a dataset I've gathered myself, so I wasn't following along in kaggle and hit a hiccup as requires pytorch and I initialized a python 3.10 environment. Oopsy poopsy. All the same, you made my headache significantly less daunting. Thank you. :)

[farhadnikhashemi]

Thanks for such a wonderful tutorial. I used your shared data on my own with Google Collab and worked so well. Just I had to download a few more libraries for tokenization. Wonderful content and I truly enjoyed it.

[AndrewSeywright]

Thank you so much for this step by step process it has opened up all sorts of new analysis opportunities for our customer insights. Really well explained and easy to follow

[DmiHindi]

Really must watch video. I must say that I really like the way you explain things, it's so easy to understand and follow along. Thank you!

[ibrahimkhanjabarkhail]

Just completed it. I really enjoyed working on it. Your way of teaching is just awesome!

[pavlostsoukias]

Rob, you are the Best! Thank you for all the quality content you are uploading!
Greetings from Greece!