Explainable CHS

This repository contains the code and data for the paper titled "Explainable Online Health Information Truthfulness in Consumer Health Search," published in Frontiers in Artificial Intelligence, Volume 6, 2023, Page 97.

Files

• similarity_docs_ner.py: This file is used for extracting document sentence vectors along with Named Entity Recognition.
• similarity_journals_ner.py: This file is used for extracting document-evidence sentence vectors along with Named Entity Recognition.
• classify.py: This file is used for quantitative analysis using the output of similarity_journals_ner.py.

Requirements

To install the required dependencies, run the following command:

pip install -r requirements.txt

Dataset

Access the dataset from here: health misinformation dataset

Paper

For more information, please refer to the: Explainable Online Health Information Truthfulness in Consumer Health Search