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Angle Orthod. 2017 May;87(3):377-383. doi: 10.2319/062816-508.1. Epub 2017 Jan 6.

Twitter analysis of the orthodontic patient experience with braces vs Invisalign.

Abstract

OBJECTIVE:

To examine the orthodontic patient experience having braces compared with Invisalign by means of a large-scale Twitter sentiment analysis.

MATERIALS AND METHODS:

A custom data collection program was created that collected tweets containing the words "braces" or "Invisalign" for a period of 5 months. A hierarchal Naïve Bayes sentiment analysis classifier was developed to sort the tweets into five categories: positive, negative, neutral, advertisement, or not applicable. Each category was then analyzed for specific content.

RESULTS:

A total of 419,363 tweets applicable to orthodontics were collected. Users posted significantly more positive tweets (61%) than they did negative tweets (39%; P ≤ .0001). There was no significant difference in the distribution of positive and negative sentiment between braces and Invisalign tweets (P = .4189). Positive orthodontics-related tweets often highlighted gratitude for a great smile accompanied with selfies. Negative orthodontic tweets frequently focused on pain.

CONCLUSION:

Twitter users expressed more positive than negative sentiment about orthodontic treatment with no significant difference in sentiment between braces and Invisalign tweets.

KEYWORDS:

Aligners; Braces; Clear; Experience; Invisalign; Twitter

PMID:
28059576
DOI:
10.2319/062816-508.1
[Indexed for MEDLINE]

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