GitHub / Mahendra357 / Analysis-of-Amazon-Cell-Phone-Reviews-Using-NLP-Technique
The Amazon Cell Phone Review Sentiment Analysis project is a Flask-based web application that classifies Amazon cell phone reviews as positive or negative using a machine learning model powered by NLP techniques. Users can enter a review, analyze its sentiment with a single click, and view the result in real-time.
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PURL: pkg:github/Mahendra357/Analysis-of-Amazon-Cell-Phone-Reviews-Using-NLP-Technique
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Forks: 0
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License: None
Language: Jupyter Notebook
Size: 30.4 MB
Dependencies parsed at: Pending
Created at: 9 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago
Topics: amazon, data-analysis, data-science, data-visualization, flask, html-css, nlp-machine-learning, sentiment-analysis, sentiment-classification, xgboost-classifier, xgboost-model