ClimateEducation_AI

This project focuses on climate education review research, utilizing various models and methods to analyze and classify climate-related data.

Contents

1. GPT-2 Classification

   • The final classification task using the Climate GPT-2 model can be found in the folder: cgpt_classification.
   • Updated classifier version: cgpt_classification/ClimateGPT_Education_Classifier_October2023.ipynb.

2. Non-GPT Classification Models

   • Explore our non-GPT-based models in the notebook: ClassificationModels_Seen_Unseen_ver2.ipynb.

3. Analysis Notebooks

   • We provide several analysis notebooks containing updates on semantic analysis, topic modeling, and geoparsing:
     • Analysis_GPT2_Classifcation_June2023.ipynb: Initial analysis results.
     • Analysis_GPT2_Classifcation_October2023.ipynb: Updated findings from October 2023.
     • Analysis_GPT2_Classifcation_September2024_revised.ipynb: Revised results from September 2024.
     • AdditionalAnalysis_ClimateEducation_September2024_review.ipynb: Further analysis and insights.

Accessing Text Summarization

You can access the text summarization analysis through Google Colab: Colab Notebook. (Special thanks to LangChain for inspiration.)

Updates

• November 2023: Two new versions of the analysis and classifier were uploaded.
• September 2024: Further updates and additional analysis were conducted.

Getting Started

To get started with the project, clone the repository and navigate to the respective notebooks. Ensure you have the required libraries installed as described in the individual notebooks.

Contribution

If you would like to contribute to this project, feel free to open an issue or submit a pull request!

License

This project is licensed under the MIT License. See the LICENSE file for details.