vineet416/Amazon_Reviews_Sentiment_Analysis
A complete end-to-end machine learning project that performs sentiment analysis on Amazon Alexa product reviews using NLP and classification algorithms. Built with Python, this project features an interactive Flask web application that enables both single-text predictions and bulk CSV analysis of customer reviews. Watch project demo: 👇
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 05, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/vineet416/Amazon_Reviews_Sentiment_Analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
alaBay94/Sentiment-analysis-amazon-Products-Reviews
NLP with NLTK for Sentiment analysis amazon Products Reviews
sharmaroshan/Amazon-Alexa-Reviews
Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning
arpan65/Customer-Review-Analysis-SaaS
Customer Review Analysis is a prototype open source platform to turn the customer feedbacks in...
ngoquanghuy99/Sentiment-classification-of-Amazon-fine-food-reviews
A deep learning model (Bidirectional LSTM) using pretrained word embeddings to do sentiment...
amri-tah/Amazon-Reviews-Sentiment-Analysis
This project focuses on sentiment analysis of Amazon product reviews using machine learning and...