Ontology-Based Natural Language Processing of Social Media Data in the Assessment of Health Information Sought during Pregnancy

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.