Relevancy Identification Across Languages and Crisis Types
IEEE Intelligent Systems(2019)
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...
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关键词
Semantics,Training,Feature extraction,Training data,Data models,Floods,Earthquakes
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