Skip to content

Latest commit

 

History

History
10 lines (8 loc) · 372 Bytes

README.md

File metadata and controls

10 lines (8 loc) · 372 Bytes

AmazonReviews

This project classifies the sentiments of amazon's customer reviews using NLTK's Vader and HuggingFace Roberta Transformers . The notebook is classified into the following steps :

  • Project Imports and EDA
  • VADER MODEL using NLTK
  • RoBERTa Model
  • Comparing the results
  • using transformer pipeline to detect the sentiment of individual sentances