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customer-feedback-analysis

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一个支持中英文的 Codex Skill,用于按完整流程分析评论、用户反馈和社媒内容,输出主题发现、方面��观点、原文证据、优先级排序和可执行业务建议。如果您想持续获取评论分析流程、字段模板和示例更新,可以点击 Watch 订阅仓库更新。

  • Updated Jul 8, 2026
  • Python

A full-stack AI agent for performing granular Aspect-Based Sentiment Analysis. It uses LLMs like Google Gemini to extract specific features and their sentiment from text or CSV files. The system is served via a scalable FastAPI backend and demonstrated with a user-friendly Streamlit interface, complete with Docker support for easy deployment.

  • Updated Jan 16, 2026
  • Python

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
  • HTML

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

NLP survey analysis pipeline for Shopify (Zigpoll/KNO/other) CSV exports. Classifies sentiment & themes (free demo mode or OpenAI mode) and outputs multi-sheet Excel with charts.

  • Updated Sep 20, 2026
  • Python

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