Deciphering Latent Health Information in Social Media Using a Mixed-Methods Design

Deciphering Latent Health Information in Social Media Using a Mixed-Methods Design

Natural language processing techniques have increased the volume and variety of text data that can be analyzed. The aim of this study was to identify the positive and negative topical sentiments among diet, diabetes, exercise, and obesity tweets. Using a sequential explanatory mixed-method design fo...

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Bibliographic Details
Main Authors: George Shaw, Margaret Zimmerman, Ligia Vasquez-Huot, Amir Karami
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Healthcare
Subjects:
sentiment analysis
text-mining
obesity
social media
topic modeling
health communication
Online Access:https://www.mdpi.com/2227-9032/10/11/2320

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