This repository contains the code used for creating a dataset of bioeconomy-related inventions. The repository contains three files:
train_pat.py: Contains the code for fine-tuning an SBERT-based model using SetFit.
topic_modeling_be_pats.py: Provides the code for generating a topic model with the the BERTopic-Framework.
technical_validation.py: Includes the code for comparing different pretrained SBERT models and evaluating them against keyword-based approaches for identifying bioeconomy-related inventions. This also includes code for a stratified validation of the classification results by CPC section.
The data folder contains the training data used in train_pat.py. The validation folder in the data folder contains the data used for the stratified validation of the classification results by CPC section.