Public sense of dental implants on social media: A cross-sectional study based on text analysis of comments

感觉 情绪分析 多学科方法 社会化媒体 心理学 主题(计算) 内容分析 舆论 牙科 医学 社会心理学 计算机科学 社会学 社会科学 政治学 政治 机器学习 万维网 操作系统 法学
作者
Shaoping Ma,Chenhao Bai,Chunchun Chen,Jingyao Bai,Mengfei Yu,Yi Zhou
出处
期刊:Journal of Dentistry [Elsevier]
卷期号:137: 104671-104671
标识
DOI:10.1016/j.jdent.2023.104671
摘要

To investigate the most discussed topics and possible new interests in dental implants among the public, as well as the public sentiments toward dental implants through topic and sentiment analysis of online comments. Comments of the top 100 most viewed dental implant-related YouTube videos were studied. The comments were analyzed by topic analysis (LDA topic model, Word co-occurrence analysis) and sentiment analysis. The basic information of videos was collected and classified. Video quality was evaluated by GQS criteria and 9-point usefulness scoring system. Statistical analyses were performed using Kruskal-Wallis test, Mann-Whitney U-tests, and Spearman correlation analysis. 74 videos with 61,618 comments were considered eligible in this study. Most videos targeted the public with high viewing and comments, but the theme was single and the quality was low. From topic analysis, the most discussed topics in the comments were procedure, cost, feelings associated with prognosis, and expectations. Multidisciplinary approaches in implant dentistry were frequently discussed. From sentiment analysis, the public mainly expressed positive sentiment through comments. In detail, the public had positive feelings about aesthetics and health, negative feelings about pain, and neutral feelings about cost. The hot topics of public concern were procedure, cost, feelings associated with prognosis, and expectations. Intriguingly, multidisciplinary approaches in implant dentistry have emerged as a new hot subtopic within the topic “procedure”. Based on the sentiment analysis of the comments, the general sentiment expressed by the public toward dental implants was predominantly positive. Text mining can extract data from social media to explore public interest in dentistry. Clinicians should convey reasonable expectations and understanding about dental implants, especially addressing the most public-concerned topics (procedure, cost, feelings, and expectations), and provide patients with well-grounded multidisciplinary treatment plans to meet the growing public demand.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
WEIFENG发布了新的文献求助10
1秒前
Lucas应助Bai采纳,获得10
2秒前
勤恳书蝶完成签到,获得积分10
3秒前
dd36发布了新的文献求助10
3秒前
wzt完成签到,获得积分10
3秒前
高贵花瓣发布了新的文献求助30
4秒前
无情的友容完成签到 ,获得积分10
4秒前
eryday0发布了新的文献求助10
5秒前
5秒前
流星噬月发布了新的文献求助10
5秒前
CYM完成签到,获得积分20
6秒前
无语的鱼发布了新的文献求助10
6秒前
坚定的雪柳完成签到,获得积分10
7秒前
YifanWang应助潇潇雨歇采纳,获得30
7秒前
华仔应助欧阳采纳,获得10
8秒前
V_v_V完成签到,获得积分10
8秒前
欣喜的璎应助如意的擎宇采纳,获得10
9秒前
10秒前
10秒前
万能图书馆应助HC3采纳,获得10
10秒前
qianqian发布了新的文献求助10
10秒前
10秒前
11秒前
12秒前
13秒前
灵巧雪冥关注了科研通微信公众号
14秒前
真难啊发布了新的文献求助10
15秒前
杳鸢应助lala采纳,获得10
16秒前
Lucy发布了新的文献求助10
16秒前
17秒前
一别如斯发布了新的文献求助10
17秒前
明理以南完成签到,获得积分10
18秒前
lxy应助楼上月采纳,获得10
18秒前
安琪发布了新的文献求助10
18秒前
小呆呆呆完成签到,获得积分10
20秒前
21秒前
Akim应助吕院长采纳,获得10
21秒前
嘴巴张大一点完成签到,获得积分10
22秒前
阿玖完成签到 ,获得积分10
23秒前
眯眯眼的黎昕完成签到,获得积分20
24秒前
高分求助中
歯科矯正学 第7版(或第5版) 1004
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
Semiconductor Process Reliability in Practice 720
GROUP-THEORY AND POLARIZATION ALGEBRA 500
Mesopotamian divination texts : conversing with the gods : sources from the first millennium BCE 500
Days of Transition. The Parsi Death Rituals(2011) 500
The Heath Anthology of American Literature: Early Nineteenth Century 1800 - 1865 Vol. B 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3228623
求助须知:如何正确求助?哪些是违规求助? 2876441
关于积分的说明 8194980
捐赠科研通 2543571
什么是DOI,文献DOI怎么找? 1373838
科研通“疑难数据库(出版商)”最低求助积分说明 646860
邀请新用户注册赠送积分活动 621453