Digital Commons Network^™

Twitter Analysis Of The Orthodontic Patient Experience With Braces Versus Invisalign, Daniel A. Noll

Theses and Dissertations

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 …