在新闻文章中自动注释处置计数
1Digital Technologies, National Research Council Canada.
Studies in health technology and informatics
|May 17, 2025
概括
这项研究介绍了一种方法,可以自动从新闻报道中提取危机处理数量. 这支持及时和可靠的公共卫生数据,如流行病曲线.
科学领域:
- 公共卫生信息学 公共卫生信息学
- 自然语言处理自然语言处理.
- 流行病学 流行病学
背景情况:
- 在公共卫生危机期间,新闻媒体经常报道处置计数 (受影响者,死亡者,恢复者).
- 这些计数对于了解危机影响和为公共卫生响应提供信息至关重要.
- 在紧急情况下,及时和可靠的数据聚合是至关重要的.
研究的目的:
- 开发和评估一种自动识别和从非结构化的新闻文本中提取倾向计数的方法.
- 支持下游应用,例如自动生成流行病曲线.
主要方法:
- 使用自然语言处理 (NLP) 技术来解析新闻文章.
- 开发了算法来识别和量化处置数量 (受影响,死亡,恢复).
- 评估了拟议方法的准确性和效率.
主要成果:
- 该方法成功地识别了新闻媒体报道中的处置计数.
- 证明了用于公共卫生监测的自动数据提取的可行性.
- 该系统支持从非结构化文本创建流行病曲线.
结论:
- 从新闻媒体中自动提取处置计数是一种可行的方法.
- 这种方法提高了危机数据的及时性和可靠性.
- 促进改善公共卫生局势意识和应对.
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