DOI
https://doi.org/10.25772/AQZ6-2T79
Defense Date
2016
Document Type
Thesis
Degree Name
Master of Science in Dentistry
Department
Dentistry
First Advisor
Bhavna Shroff DDS MDSc MPA
Second Advisor
Steven J Lindauer DDS MDSc
Third Advisor
Brendan E Mahon
Fourth Advisor
Caroline Carrico
Abstract
The purpose of this study was to examine the orthodontic patient experience with braces compared to Invisalign® by means of a large-scale Twitter sentiment analysis. A custom data collection program was created to collect tweets containing the words “braces” or “Invisalign.” A hierarchal Naïve Bayes sentiment classifier was developed to sort the tweets into one of five categories: positive, negative, neutral, advertisement, or not applicable. Among the 419,363 tweets applicable to orthodontics collected, users posted significantly more positive tweets (61%) than negative tweets (39%) (p-value = ® tweets (p-value=0.4189). In conclusion, Twitter users express more positive than negative sentiment about orthodontic treatment with no significant difference in sentiment between braces and Invisalign® tweets.
Rights
© The Author
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
5-10-2016
