Unsupervised ML approach detects and ranks novel and developing cyber threat events in Twitter by extracting named entities and keywords weighted by user influence, evaluated against human annotators.
Twitter-scale new event detection via k-term hashing
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A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams
Unsupervised ML approach detects and ranks novel and developing cyber threat events in Twitter by extracting named entities and keywords weighted by user influence, evaluated against human annotators.