- Question tagging with BERT (HuggingFace)
In instances where an individual poses a health-related query/description, there may be underlying themes linked to the question that aren't immediately apparent. In this endeavor, we employ a BERT model to identify and tag medical issues related to patient inquiries. This is achieved by leveraging extensive datasets from ehealth, icliniq, QuestionDoctorsQA, and WebMDQA websites.
- Question answering with BERT (HuggingFace)
In this project, our objective is to utilize a BERT model (Huggingface) for natural language processing, with the aim of comprehending text passages or statements. This involves the model’s ability to answer queries pertaining to the content within the given text.