📊 Automated Sentiment Analysis System

A Python-based sentiment analysis system that leverages Azure Cognitive Services to analyze text data and generate insights through visualization, database storage, and automated reporting.

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🚀 Features

• 🔍 Sentiment analysis using Azure Text Analytics API
• ⚡ Batch processing for multiple inputs
• 🗄️ Store results in SQLite database
• 📊 Visualization using Plotly
• 📈 Data aggregation using Pandas
• 📝 PDF report generation using ReportLab
• 📧 Email notification with report attachment
• 🔐 Secure handling of API keys using environment variables
• 🧪 Demo mode when API key is not provided

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🛠️ Tech Stack

• Python
• Azure Text Analytics API
• Pandas
• Plotly
• Matplotlib
• ReportLab
• SQLite
• Requests
• SMTP (Email Automation)

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⚙️ How It Works

1. Text data is processed in batches
2. Azure API analyzes sentiment
3. Results are stored in a database
4. Data is aggregated and visualized
5. A PDF report is generated
6. Report is sent via email

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⚙️ Setup & Run

python -m pip install requests matplotlib schedule plotly reportlab pandas

set AZURE_API_KEY=your_api_key
set EMAIL_PASSWORD=your_app_password

python automated_sentiment_analysis.py

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⚠️ Note

If no API key is provided, the system runs in demo mode.

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👤 Author

Badri