正畸社交媒体帖子分类示例数据集

包含Instagram和X平台上正畸治疗相关帖子的分类示例,用于分析患者观点和体验。

Figshare
2025-08-21 更新
浏览 31
文本“ positive accounts“ neutral accountsfive main themesstatistically significant associationspatient experience sharingdental product companiescategorize patient viewstwo platforms (<analyzing patient perspectivesstarting treatment ”x platforms usingorthodontic treatment ”
Examples of posts according to each category.

基本信息

模态
文本
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2025-08-21
版本
v1

资源简介

正畸社交媒体帖子分类示例数据集

【数据集背景】

本数据集源站标题为《Examples of posts according to each category.》。源站首次发布:2025-08-21。

【数据内容】

源站原始描述:Social media has become a key platform for health-related communication and patient experience sharing. In orthodontics, analyzing patient-generated content on social media helps uncover perceptions, motivations, and concerns related to treatment. Understanding the most commonly reported complaints allows orthodontists to offer solutions, enhancing overall patient satisfaction with treatment The objective of this study is to identify and categorize patient views on orthodontic treatment across s…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 1.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0330263.t001。

【主题与分类】

源站学科分类:Biological Sciences not elsewhere classified、Cancer、Science Policy、Virology。主题标签:“ positive accounts、“ neutral accounts、five main themes、statistically significant associations、patient experience sharing、dental product companies、categorize patient views、two platforms (<、analyzing patient perspectives、starting treatment ”。

【适用方向】

文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Examples_of_posts_according_to_each_category_/29961710

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Berretta, Letícia Machado; Gasparello, Gil Guilherme; de Souza, Evelise Machado; Hartmann, Giovani Ceron; Berretta, Ewandro Carlos; Camargo, Elisa Souza; et al. (2025). Examples of posts according to each category.. PLOS ONE. Dataset

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从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/57345056"

文件清单

  • Table 1.xls(5.63 KB)

文件总体积 5.63 KB(源站 API 实测)。

数据说明

Social media has become a key platform for health-related communication and patient experience sharing. In orthodontics, analyzing patient-generated content on social media helps uncover perceptions, motivations, and concerns related to treatment. Understanding the most commonly reported complaints allows orthodontists to offer solutions, enhancing overall patient satisfaction with treatment The objective of this study is to identify and categorize patient views on orthodontic treatment across social media, providing a broader understanding of global patients’ perspectives. The search was carried out on Instagram and X platforms using the hashtags #braces, #invisalign, #orthodontics, and #orthodontist. Data were collected over a seven-week period without restriction on languages or geographical locations. The qualitative analysis focused involved thematic categorization of posts content, while quantitative analysis used Pearson chi-square tests with Bonferroni-adjusted values, with a significance level of p p > 0.05). Dentists and clinics dominate social media discussions on orthodontics. Among patient-shared content, ‘positive experiences’ were the most frequently mentioned. No significant differences were observed between platforms in the type of posts analyzed.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0330263.t001(source: https://plos.figshare.com/articles/dataset/Examples_of_posts_according_to_each_category_/29961710)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

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