MoodScope

MoodScope is an industry-standard Chrome extension that provides real-time sentiment analysis across major social media platforms with advanced analytics, customizable notifications, and comprehensive data management.

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Extention Preview

Core Functionality

• Real-time Sentiment Analysis: Advanced sentiment detection across 6 major social platforms
• Multi-Platform Integration: Twitter/X, Facebook, Instagram, LinkedIn, Reddit, YouTube
• Professional Dashboard: 4-tab interface with comprehensive analytics
• Advanced Analytics: Historical data, trend analysis, and platform-specific statistics
• Data Export System: JSON export for analytics, history, and complete backups
• Theme System: Dark/Light mode with persistent preferences
• Notification System: Smart alerts with keyword monitoring and sentiment thresholds

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Professional Features

1. Auto-Analysis Mode - Background processing with 30-second intervals
2. Keyword Tracking - Custom keyword monitoring and alerts
3. Settings Management - Comprehensive configuration options
4. History Management - Analysis history with timestamps and metadata
5. Data Persistence - LocalStorage with automatic sync
6. Notification System - Smart alerts with customizable thresholds
7. Advanced Statistics - Weekly averages, positivity metrics, site-specific data
8. Real Site Detection - Chrome tabs API integration
9. Performance Optimization - Efficient memory usage and background processing

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Technical Architecture

Manifest V3 Structure

moodscope/
├── manifest.json              # Extension configuration and permissions
├── popup.html                # Main UI interface (420x600px)
├── js/
│   ├── popup.js              # Main application logic (MoodScopePro class)
│   ├── background.js         # Service worker for background processing
│   ├── sentiment-engine.js   # Core sentiment analysis algorithms
│   ├── notification-system.js # Alert and notification management
│   ├── chart-utils.js        # Data visualization utilities
│   ├── filter-system.js      # Content filtering and processing
│   ├── settings-manager.js   # User preferences and configuration
│   ├── theme-manager.js      # UI theme management
│   └── content-scripts/      # Platform-specific integrations
│       ├── twitter.js        # Twitter/X sentiment analysis
│       ├── facebook.js       # Facebook content processing
│       ├── instagram.js      # Instagram integration
│       ├── linkedin.js       # LinkedIn professional content
│       ├── reddit.js         # Reddit community analysis
│       └── youtube.js        # YouTube comment sentiment
├── css/
│   ├── popup.css            # Main UI styles (739 lines)
│   └── content.css          # Injected styles for content scripts (591 lines)
└── icons/                   # Extension icons (16, 32, 48, 128px)

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SentimentEngine (sentiment-engine.js)

class SentimentEngine {
    constructor() {
        this.lexicon = {
            positive: [...],   // 40+ positive sentiment words
            negative: [...],   // 45+ negative sentiment words
            neutral: [...]     // 20+ neutral sentiment words
        };
        this.intensifiers = {}; // Sentiment amplifiers
        this.negators = [];     // Sentiment negation detection
    }
}

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Analysis Features:

• Lexicon-based sentiment scoring
• Context-aware intensity detection
• Negation handling and phrase analysis
• Custom keyword integration
• Confidence scoring (0-100)

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Data Architecture

Storage Strategy

• Local Storage: Real-time analysis data, user preferences
• Chrome Storage Sync: Cross-device settings synchronization
• Session Storage: Temporary analysis state

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Data Models

// Analysis Entry
{
    id: timestamp,
    timestamp: Date,
    sentiment: { score: number, label: string, color: string },
    site: string,
    keywords: string[]
}

// Statistics Object
{
    today: number,
    weekAvg: number,
    positivePercent: number,
    siteStats: { facebook: 0, twitter: 0, instagram: 0, reddit: 0 }
}

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Development Setup

Prerequisites

• Chrome Browser (v88+)
• Node.js (optional, for development tools)
• Git

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Installation

# Clone repository
git clone https://github.com/username/moodscope.git
cd moodscope

# Load extension in Chrome
1. Open Chrome Extensions (chrome://extensions/)
2. Enable "Developer mode"
3. Click "Load unpacked"
4. Select the moodscope directory

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Development Workflow

# Make changes to source files
# Reload extension in Chrome
chrome://extensions/ → Click "Reload" button

# Test on supported platforms
# Navigate to Twitter, Facebook, Instagram, LinkedIn, Reddit, YouTube
# Open extension popup to verify functionality

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Platform Integration

Platform	Status	Content Scripts	Features
Twitter/X	✅ Full	twitter.js	Timeline, tweets, replies
Facebook	✅ Full	facebook.js	Posts, comments, news feed
Instagram	✅ Full	instagram.js	Posts, stories, comments
LinkedIn	✅ Full	linkedin.js	Professional posts, articles
Reddit	✅ Full	reddit.js	Posts, comments, threads
YouTube	✅ Full	youtube.js	Video comments, descriptions

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Content Script Architecture

Each platform implements:

• DOM Monitoring: MutationObserver for dynamic content
• Element Detection: Platform-specific selectors
• Sentiment Processing: Text extraction and analysis
• UI Integration: Non-intrusive sentiment indicators
• Performance Optimization: Debounced processing and memory management

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Analytics & Reporting

Available Analytics

• Daily Analysis Count: Today's sentiment analyses
• Weekly Average: 7-day sentiment trend
• Positivity Percentage: Ratio of positive vs negative sentiment
• Platform Distribution: Per-site analysis statistics
• Historical Trends: Time-series sentiment data

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Export Options

1. Analytics Export: Statistics and metadata (JSON)
2. History Export: Complete analysis history (JSON)
3. Full Backup: All user data and settings (JSON)

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Data Format Example

{
  "stats": {
    "today": 15,
    "weekAvg": 73,
    "positivePercent": 68,
    "siteStats": {
      "twitter": 8,
      "facebook": 4,
      "reddit": 3
    }
  },
  "exportDate": "2025-09-25T10:30:00.000Z",
  "totalAnalyses": 127
}

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Notification Configuration

notifications: {
    enabled: boolean,
    criticalOnly: boolean,
    keywordAlerts: boolean
}

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Performance Optimizations

Background Processing

• Service Worker: Efficient background task management
• Debounced Analysis: Prevents excessive API calls
• Memory Management: Automatic cleanup of processed content
• Storage Optimization: Compressed data structures

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Content Script Efficiency

• Intersection Observer: Lazy-load analysis for visible content
• Mutation Observer: Efficient DOM change detection
• Set-based Deduplication: Prevents duplicate processing
• Throttled Execution: Rate-limited analysis to prevent performance issues

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Security & Privacy

Data Handling

• Local Storage Only: No external data transmission
• User Consent: Explicit permission for all features
• Minimal Permissions: Only required Chrome APIs
• Content Isolation: Sandboxed content script execution

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Permissions Explained

{
  "permissions": [
    "activeTab",      
    "storage",       
    "notifications", 
    "scripting",      
    "tabs"          
  ]
}

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Testing & Quality Assurance

Manual Testing Checklist

• Extension loads without errors
• All 15+ features function correctly
• Material Icons display properly
• Theme switching works
• Data export generates valid JSON
• Settings persist across sessions
• Content scripts work on all platforms
• Performance remains smooth during analysis

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Browser Compatibility

• Chrome 88+ (Manifest V3 support)
• Edge 88+ (Chromium-based)
• Other Chromium browsers

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Configuration Files

manifest.json

{
  "manifest_version": 3,
  "name": "MoodScope",
  "version": "1.0.0",
  "permissions": ["activeTab", "storage", "notifications", "scripting", "tabs"],
  "host_permissions": ["https://twitter.com/*", "https://facebook.com/*", ...],
  "content_scripts": [...],
  "action": { "default_popup": "popup.html" },
  "background": { "service_worker": "js/background.js" }
}

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API Reference

Chrome Extension APIs Used

• chrome.storage.local - Local data persistence
• chrome.storage.sync - Cross-device settings sync
• chrome.tabs - Real site detection and tab management
• chrome.notifications - System notification display
• chrome.runtime - Message passing between components

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Internal APIs

• MoodScopePro.analyzePage() - Trigger sentiment analysis
• SentimentEngine.analyzeSentiment(text) - Core analysis function
• NotificationSystem.showAlert(type, message) - Display notifications

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Future Roadmap

Planned Features

• Machine learning sentiment model integration
• Real-time sentiment trend visualization
• Multi-language sentiment support
• Advanced keyword pattern matching
• Sentiment comparison across platforms
• Data visualization dashboard
• Custom notification webhooks
• Sentiment history export to CSV

Performance Improvements

• WebAssembly sentiment engine
• IndexedDB for large datasets
• Background sync optimization
• Reduced memory footprint

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Project Documentation

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Contact Information

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MoodScope represents a production-ready Chrome extension with enterprise-level features, comprehensive social media integration, and professional UI/UX design. The codebase demonstrates advanced Chrome extension development techniques, efficient data management, and scalable architecture suitable for commercial deployment.

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