README.md

metadata

title: CxSentimentAnalysisAI
emoji: 🚀
colorFrom: red
colorTo: red
sdk: streamlit
app_port: 8501
tags:
  - streamlit
pinned: false
short_description: Streamlit template space
sdk_version: 1.52.2

Welcome to Streamlit!

Edit /src/streamlit_app.py to customize this app to your heart's desire. :heart:

If you have any questions, checkout our documentation and community forums.

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title: Review Intelligence System emoji: 🎯 colorFrom: blue colorTo: purple sdk: streamlit sdk_version: 1.28.0 app_file: app.py pinned: false

🎯 Review Intelligence System

Multi-Agent AI-Powered Review Analysis Platform

Analyze customer reviews from App Store and Play Store with 7 specialized AI models working in parallel.

🚀 What This Does

This application provides intelligent, multi-stage analysis of customer reviews using a sophisticated AI pipeline:

• 📱 Scrapes reviews from App Store and Play Store
• 🤖 Classifies reviews by type, department, and priority
• 😊 Analyzes sentiment with dual BERT models
• 👥 Identifies user types and emotional states
• 📊 Generates actionable insights and batch analytics
• 🎯 Routes issues to appropriate teams

Perfect for product managers, UX teams, support teams, and business analysts.

✨ Key Features

4-Stage AI Pipeline

Stage	What It Does	Models Used
Stage 0	Web Scraping	App Store RSS & Play Store API
Stage 1	Classification	Qwen 72B + Llama 3B + Llama 70B
Stage 2	Sentiment	Twitter-RoBERTa + BERTweet
Stage 3	Synthesis	Llama 70B
Stage 4	Analytics	Statistical aggregation

What You Get

• ✅ Review Type: praise, complaint, suggestion, question, bug_report
• ✅ Department: engineering, ux, support, business
• ✅ Priority: critical, high, medium, low
• ✅ Sentiment: POSITIVE, NEUTRAL, NEGATIVE (with confidence)
• ✅ Emotion: joy, satisfaction, frustration, anger, disappointment
• ✅ User Type: new_user, regular_user, power_user, churning_user
• ✅ Actions: Specific recommendations for each review
• ✅ Analytics: Churn risk, critical issues, quick wins

🎬 How to Use

Step 1: Get HuggingFace API Key

1. Visit HuggingFace Settings
2. Create new token with Read access
3. Copy token (starts with hf_)

Step 2: Enter App URLs

App Store:

• Format: Just the app ID number
• Example: 1022164656
• Find in URL: apps.apple.com/app/id1022164656

Play Store:

• Format: Package name
• Example: com.disney.wdpro.dlr
• Find in URL: play.google.com/store/apps/details?id=com.disney.wdpro.dlr

Step 3: Run Analysis

1. Paste HuggingFace API key
2. Enter URLs (one per line)
3. Choose reviews per app (5-100)
4. Click "🚀 Start Analysis"
5. Wait ~7 seconds per review
6. View results!

Step 4: Manage Database

• Reset Database: Click when analyzing different apps
• Keep Database: Don't reset to track trends over time

💡 Use Cases

Product Management

• Identify critical issues
• Prioritize feature requests
• Track sentiment trends

UX/Design Teams

• Find usability issues
• Discover improvement ideas
• Understand user emotions

Support Teams

• Route issues automatically
• Categorize requests
• Identify quick wins

Business Analytics

• Measure satisfaction
• Calculate churn risk
• Track competitive position

🏗️ Technical Details

AI Models:

1. Qwen/Qwen2.5-72B-Instruct - Classification
2. meta-llama/Llama-3.2-3B-Instruct - User analysis
3. meta-llama/Llama-3.3-70B-Instruct - Synthesis
4. cardiffnlp/twitter-roberta-base-sentiment-latest - Sentiment
5. finiteautomata/bertweet-base-sentiment-analysis - Validation
6. meta-llama/Llama-3.1-70B-Instruct - Final reasoning

Technology Stack:

• Frontend: Streamlit
• AI: LangGraph + HuggingFace Inference API
• Database: SQLite (49 columns)
• Visualization: Plotly

Performance:

• ⚡ ~7 seconds per review
• 🔄 Parallel processing
• 🎯 100% model agreement

📊 Sample Output

Dashboard Metrics:
📊 Total Reviews: 20
😊 Positive: 15 (75%)
😞 Negative: 4 (20%)
🚨 Critical: 0
📉 Churn Risk: 7.5%

Department Routing:
🏢 Engineering: 4
🎨 UX: 9
💼 Business: 6

🔐 Privacy & Data

• ✅ All processing on HuggingFace servers
• ✅ No permanent data storage
• ✅ Public reviews only
• ✅ Reset database anytime
• ✅ Export your data

🙋 Support

For issues:

1. Check HuggingFace API key is valid
2. Verify URL format is correct
3. Try resetting database
4. Check internet connection

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Made with ❤️ for Product Teams

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