Automated classification of online reviews of otolaryngologists.

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 categories, and compare 1- and 5-star reviews in directly-physician-related and non-physician-related categories.

Methods: 1977 1-star and 12,682 5-star reviews were collected.