Deep Learning Approach for Health Question and Answer Text Segmentation based on Physician-Patient Communication Aspect

Doctor-patient interaction is a criterion for patient satisfaction in Online Health Consultation (OHC), influencing success in the patient's healing process. The interaction between doctors and patients in OHC is done asynchronously, where doctors and patients communicate indirectly through text. This communication process is challenging for doctors, who must apply competence in doctor-patient communication effectively and efficiently. A text segmentation method is needed to evaluate aspects of doctor-patient communication. This study proposes a methodology for segmenting text on six Indonesian language doctor-patient communication aspects and building a specific domain corpus as a word embedding corpus to create a word embedding model.