alaBay94/Sentiment-analysis-amazon-Products-Reviews
NLP with NLTK for Sentiment analysis amazon Products Reviews
Leverages the Multi-Domain Sentiment Dataset (v2.0) containing 25 product categories from Amazon, applying NLTK-based text preprocessing and feature extraction to classify review polarity. The pipeline handles raw, unprocessed review text through tokenization and sentiment classification workflows designed for cross-domain generalization across diverse product types.
No commits in the last 6 months.
Stars
47
Forks
19
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 18, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/alaBay94/Sentiment-analysis-amazon-Products-Reviews"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
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...
jcharit1/Amazon-Fine-Foods-Reviews
A series of NLP projects with the Amazon Fine Foods Revews dataset