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customer-feedback-analysis

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This project implements sentiment analysis on restaurant reviews using TextBlob and VADER to classify customer feedback as positive or negative. By comparing model performances, it identifies the most effective approach for sentiment evaluation, offering actionable insights to enhance customer experience and optimize business strategies.

  • Updated Dec 6, 2024
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This project analyzes insurance data in Power BI, integrating sentiment analysis to evaluate customer feedback. Visualizations include Word Cloud, Decomposition Tree, and sentiment scoring to assess claims trends, policy performance, and demographic impacts, helping stakeholders optimize strategies and improve customer engagement. 📊

  • Updated Apr 13, 2025

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