In this video, you'll walk through a Python natural language processing project and create a Sentiment Analysis classifier using NLTK's VADER and Huggingface Roberta Transformers. The project aims to classify the sentiment of Amazon customer reviews. offers some great open source models for NLP: https://huggingface.co/models. We will look at the difference between the model output of the two packages and compare the results. Sentiment analysis is an important tool that data scientists can use in language modeling.

Link to Kaggle Notebook: https://www.kaggle.com/robikscube/sentiment-analysis-python-youtube-tutorial

Timeline:
00:00 Introduction
01:10 Line-up + NLTK
10:44 VADER model
23:42 RoBERTa model
35:51 Compare results

Follow me on Twitch for live coding streams: https://www.twitch.tv/medallionstallion_

My other videos:

Accelerate your Panda's Code: https://www.youtube.com/watch?v=SAFmrTnEHLg
Accelerate Panda's Code: https://www.youtube.com/watch?v=SAFmrTnEHLg
Introducing Pandas video: https://www.youtube.com/watch?v=_Eb0utIRdkw
Exploratory data analysis video: https://www.youtube.com/watch?v=xi0vhXFPegw

Working with audio data in Python: https://www.youtube.com/watch?v=ZqpSb5p1xQo
Efficient Pandas Dataframes: https://www.youtube.com/watch?v=u4_c2LDi4b8

* Youtube: https://youtube.com/@robmulla?sub_confirmation=1
* Discord: https://discord.gg/HZszek7DQc
* Twitch: https://www.twitch.tv/medallionstallion_
* Twitter: https://twitter.com/Rob_Mulla
* Kaggle: https://www.kaggle.com/robikscube

#nlp #python #machinelearning #huggingface

Please take the opportunity to connect and share this video with your friends and family if you find it useful.