Topic Modeling for International Patients' Consultations Using Natural Language Processing.

Stud Health Technol Inform

Technology Research, Samsung SDS, Seoul, Republic of Korea.

Published: May 2022

We extracted major topic by applying natural language processing and keyword extracting using TF, TF-IDF, TextRank, Yake, KeyBERT. 1452 consultation data were collected from the website and official hospital e-mail. We found six topics categorized into "Medical opinion" related to hospital characteristics and "Non-medical service guidance". Based on this result, it is necessary to establish marketing plan and develop a digital solution for effective consultation.

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Source
http://dx.doi.org/10.3233/SHTI220608DOI Listing

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