关于使用癌症免疫疗法的在线社区360万个基于Web的帖子中的感知:使用BERTopic进行数据挖掘
Xingyue Wu1, Chun Sing Lam1, Ka Ho Hui1
1School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Journal of medical Internet research
|February 10, 2025
概括
患者在网上表达对癌症免疫治疗的普遍积极看法,重点关注希望,有效性和生活方式的影响. 这种对社交媒体数据的分析有助于医生与患者之间的沟通和关于这一关键治疗的决策.
科学领域:
- 在瘤学瘤学.
- 计算语言学 计算语言学
- 社交媒体分析 社交媒体分析
背景情况:
- 免疫疗法是一种变革性的癌症治疗方法.
- 患者越来越多地使用在线平台进行支持和信息共享.
- 使用社交媒体数据对患者对免疫疗法的看法存在有限的研究.
研究的目的:
- 使用BERTopic建模来分析在线癌症社区对免疫疗法的看法.
- 确定围绕免疫疗法讨论的关键主题和情绪.
主要方法:
- 处理了来自各种在线平台 (Facebook,Twitter,Reddit,论坛) 的360万条社交媒体帖子.
- 利用自然语言处理和BERTopic进行主题建模和情绪分析.
- 对确定的主题进行主题分析,以了解患者的观点.
主要成果:
- BERTopic确定了14个与免疫疗法感知相关的不同主题.
- 情绪分析显示,对免疫治疗的普遍积极情绪 (得分~0.3).
- 六个主要主题出现了:希望,有效性,补充治疗,财务/精神影响,生活方式和副作用.
结论:
- 使用BERTopic进行的社交媒体分析提供了对免疫治疗患者多方面的考虑的见解.
- 确定的主题可以增强医生和患者之间的沟通和共享决策.
- BERTopic对于分析大型数据集以揭示社交媒体感知是有效的.
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