Research on Software Updates - Sentiment Trajectory Analysis

📊 Project Overview

This project analyzes sentiment trajectories of Reddit posts related to software updates, examining how author sentiment compares to community replies over time.

📁 Project Structure

Core Files

• scripts/complete_sentiment_trajectory_visualization.py - Main visualization script
• visualizations/complete_sentiment_trajectory_analysis.png - Sentiment trajectory chart
• visualizations/reddit_posts_urls_reference.txt - URL reference for all analyzed posts

Data Files

• data/ - Contains Reddit post data and analysis results
• documentation/ - Project documentation and review templates

🚀 How to Use

Generate Visualization

python scripts/complete_sentiment_trajectory_visualization.py

This will:

1. Create the sentiment trajectory visualization
2. Save it as visualizations/complete_sentiment_trajectory_analysis.png
3. Print URL references for all 9 analyzed Reddit posts

Files for Professor Review

• Chart: visualizations/complete_sentiment_trajectory_analysis.png
• URL Reference: visualizations/reddit_posts_urls_reference.txt

📈 Analysis Details

• 9 Reddit posts analyzed across 3 sentiment categories
• Positive Posts: Rust, Linux, WordPress discussions
• Negative Posts: Django, IBM, ComfyUI discussions
• Neutral Posts: Kdenlive, Neovim, Rust discussions
• Sentiment Range: -1.0 (negative) to +1.0 (positive)

🔗 Accessing Original Posts

Copy and paste URLs from reddit_posts_urls_reference.txt to view the original Reddit discussions.