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A newer version of the Streamlit SDK is available:
1.52.2
title: ClimateLens
emoji: 🌍
colorFrom: green
colorTo: blue
sdk: streamlit
sdk_version: 1.45.1
app_file: app.py
pinned: false
ClimateLens: Climate Emotion Analysis Platform
A research-focused web application that analyzes climate-related emotions and discussions from social media data. Built with Streamlit, ClimateLens provides interactive visualizations and insights into how people express climate anxiety and related emotions in online spaces.
Features
- Key Insights: Real-time analysis of climate emotions across different demographics
- Interactive Dashboards: Comprehensive visualization tools including:
- Topic analysis (intertopic maps, heatmaps, barcharts, hierarchies)
- Sentiment analysis (distributions, probability histograms, violin plots)
- Research-Grade Tools: Transparent methodology and ethical considerations
- Accessible Design: Built for researchers, educators, and mental health professionals
Target Users
- Students and researchers studying climate psychology
- Mental health professionals working with climate anxiety
- Educators teaching environmental psychology
- Community leaders developing climate resilience programs
Technical Architecture
- Framework: Streamlit with component-based navigation
- Visualization: Plotly for interactive charts and graphs
- Data Processing: Pandas and NumPy for analysis
- File Management: Dynamic visualization discovery system
Usage
The platform features a two-level navigation system:
- Explore: Key insights and interactive dashboards
- Help & Legal: Support, disclaimers, and terms of use
Navigate through different visualization types to explore climate emotion patterns and gain insights into public climate discussions.
Ethics & Limitations
This tool is designed for research and educational purposes. It provides insights into population-level patterns but should not be used for individual diagnosis or clinical decision-making. See the built-in disclaimer for full ethical considerations.
Contact
For questions about research applications: programs@crcgreen.com