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Ontology-Based Natural Language Processing of Social Media Data in the Assessment of Health Information Sought During Pregnancy
Joo Yun Lee
68 - 70
10.3233/SHTI210668
Research Article
Studies in Health Technology and Informatics
Volume 284: Nurses and Midwives in the Digital Age
Abstract

This study analyzed collected social media data from South Korea containing keywords related to “pregnancy” using ontology-based natural language processing. Of the 504,725 documents, those containing concepts related to “maternal emotion” were the most frequent, followed by “family support”. Social media were used as a means of exchanging information and expressing emotions.

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