Publishing this repository does not grant permission to reproduce or reuse the content without the consent of the repository owner.
This repository is built for the ongoing research project, which aims to provide more insights into image-based disclosure in capital markets using the method of machine learning.
The hypothese are found statistically significant, more dataset are involved to improve the robustness of this research.
To get started, run the command line in your designated environment with:
pip install -r requirements.txt
Create folder data and log respectively, the first for PDF data storage, the second for script running log. Please make sure that .gitignore has declared that these two folders will not be recorded by git version control.
Use the data file in folder sample_data and conduct a pilot test. To do so, please replace pdf_path_list = getPathBundle("data/ESG/2023") in main.py to pdf_path_list = getPathBundle("sample_data").
Running main.py can only compute the original data based on the CLIP model.