Automated classification of online reviews of otolaryngologists

Automated classification of online reviews of otolaryngologists

Abstract Objectives The study aimed to extract online comments of otolaryngologists in the 20 most populated cities in the United States from healthgrades.com, develop and validate a natural language processing (NLP) logistic regression algorithm for automated text classification of reviews into 10...

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Bibliographic Details
Main Authors: Jake G. Stenzel, Nicholas R. Schultz, Michael J. Marino
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Laryngoscope Investigative Otolaryngology
Subjects:
artificial intelligence
machine learning
natural language processing
Online Access:https://doi.org/10.1002/lio2.70036
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