在2022年使用机器学习研究大喉癌的公众情绪
Divya Rao1,2, Rohit Singh2, K Prakashini3
1Manipal, 576104 India Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education.
概括
2022年推特上关于喉癌的公众情绪大多是中立的 (53%) 或积极的 (34%). 对733条推文的分析揭示了治疗和意识等共同主题,表明需要改进在线沟通策略.
科学领域:
- 医疗信息学 医疗信息学
- 计算语言学 计算语言学
- 公共卫生 公共卫生
背景情况:
- 像Twitter这样的社交媒体平台提供了对公共卫生讨论的实时见解.
- 了解公众对喉癌的情绪对于有针对性的宣传活动至关重要.
研究的目的:
- 分析公众对喉癌的情绪,使用2022年的推特数据.
- 在线识别与喉癌相关的普遍主题和议题.
主要方法:
- 通过使用相关标签 (#喉癌,#喉癌等) 创建了一个新的数据集,包含733条推文. ) 的情况.
- 推特经过数据清理,自然语言处理和情绪分析.
- 进行了对积极,消极和中立情绪的分类.
主要成果:
- 情绪分析显示,53%的推特中立,34%的推特是积极的,13%的推特是消极的.
- 关键主题包括治疗,危险因素,症状,诊断,预防,意识和情绪影响.
- 有限量的推文表明了增强在线宣传策略的潜力.
结论:
- 推特数据为医疗保健研究提供了宝贵的患者生成的见解.
- 目前关于喉癌的在线话语表明需要改善公众意识的举措.
- 社交媒体分析可以为癌症意识的公共卫生沟通策略提供信息.
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