Python Sentiment Analysis Project with NLTK and Transformers - Classify Amazon Reviews

Learn to build a sentiment analysis classifier for Amazon customer reviews using Python, NLTK's VADER, and Huggingface Roberta Transformers in this 45-minute tutorial. Explore the differences between model outputs, compare results, and gain insights into language modeling techniques essential for data scientists. Follow along with the provided Kaggle notebook to set up the project, implement NLTK and VADER models, apply the RoBERTa model, and analyze the comparative performance of these approaches in natural language processing.

Intro
Setup + NLTK
VADER Model
RoBERTa Model
Compare Results