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Mining the Public Mind: A Text-Mining Approach to Dental Implants and Dentures
1Department of Prosthodontics and Wonkwang Dental Research Institute, School of Dentistry, Wonkwang University, Iksan 54538, Republic of Korea.
Dentistry Journal
|June 25, 2026
Summary
Online analysis reveals dental implants are perceived positively, associated with surgery. Dentures, however, face negative public sentiment and are linked to insurance concerns, highlighting distinct public perceptions of these dental treatments.
Area of Science:
- Oral health research
- Digital communication analysis
Background:
- Understanding public perception of dental treatments is crucial.
- Online information provides a vast resource for analyzing public opinion.
Purpose of the Study:
- To comparatively analyze online information about dental implants and dentures.
- To identify public perceptions and key themes associated with each treatment using text-mining.
Main Methods:
- Utilized automated text-mining on data from search engines, social media, and YouTube.
- Analyzed 9941 implant and 9783 denture data points using word clouds, TF-IDF, semantic networks, and sentiment analysis.
- Keywords analyzed included "implant" and "denture" in Korean.
Main Results:
- Dental implants: keywords included "dental clinic," "treatment," "surgery," and "insurance." Positive sentiment (63.09%).
- Dentures: keywords included "implant," "abnormality," and "discomfort." Negative sentiment (59.30%).
- TF-IDF analysis showed "surgery" for implants and "insurance" for dentures were significant.
Conclusions:
- Distinct public perceptions exist for dental implants versus dentures.
- Implants are associated with surgical procedures and positive sentiment.
- Dentures are linked to insurance and negative experiences, indicating a need for improved public understanding.
