Relevancy Identification Across Languages and Crisis Types

IEEE Intelligent Systems(2019)

引用 3|浏览78
暂无评分
摘要
Social media plays a vital role in information sharing during disasters. Unfortunately, the overwhelming volume and variety of data generated on social media make it challenging to sieve through such content manually and determine its relevancy. Most automated approaches to classify crisis data for relevancy are based on classic statistical features. However, such approaches do not adapt well to s...
更多
查看译文
关键词
Semantics,Training,Feature extraction,Training data,Data models,Floods,Earthquakes
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要