Project Overview

This project is focused on sentiment analysis of Amazon reviews, utilizing advanced natural language processing (NLP) techniques to uncover insights into customer opinions. By combining VADER (Valence Aware Dictionary for sEntiment Reasoning) and RoBERTa (A Robustly Optimized BERT Approach), the project provides a robust framework for analyzing the emotional tones within a wide range of reviews.

VADER rule-based approach allows for quick and efficient sentiment detection, ideal for short and informal text, capturing sentiments from emoticons, slang, and punctuation. RoBERTa, with its deep learning capabilities, adds depth and context-awareness to the analysis, allowing for nuanced understanding of complex customer feedback.