https://github.com/akarshankapoor7/e-commerce-website-reviews-sentiment-analysis-

Flipkart E-Commerce Reviews Sentiment Analysis examines customer reviews to gauge sentiment—positive, negative, or neutral. This helps Flipkart understand customer satisfaction, identify issues, and improve products and services, ultimately enhancing customer experience and loyalty.
https://github.com/akarshankapoor7/e-commerce-website-reviews-sentiment-analysis-

ecommerce-website nlp-machine-learning python sentiment-analysis

Last synced: 26 days ago
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Flipkart E-Commerce Reviews Sentiment Analysis examines customer reviews to gauge sentiment—positive, negative, or neutral. This helps Flipkart understand customer satisfaction, identify issues, and improve products and services, ultimately enhancing customer experience and loyalty.

• Host: GitHub
• URL: https://github.com/akarshankapoor7/e-commerce-website-reviews-sentiment-analysis-
• Owner: akarshankapoor7
• Created: 2024-05-27T09:42:30.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-05-27T09:47:04.000Z (8 months ago)
• Last Synced: 2024-06-06T15:29:43.243Z (8 months ago)
• Topics: ecommerce-website, nlp-machine-learning, python, sentiment-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 2.12 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# E-Commerce-Website-Reviews-Sentiment-Analysis-

(Data Science Project) : 

E-Commerce Website Reviews Sentiment Analysis is a process that involves examining customer reviews to determine their overall sentiment, whether positive, negative, or neutral. This analysis helps e-commerce businesses understand customer satisfaction, identify common issues, and improve their products and services based on feedback trends. By leveraging sentiment analysis, companies can enhance customer experience, drive better business decisions, and increase customer loyalty.