From: Using semantic clustering to support situation awareness on Twitter: the case of world views
S4: Human | |
---|---|
D1: Paddington | C4.1.1: No train service |
C4.1.2: Man jumping off a bridge | |
C4.1.3: Several delays | |
D2: Boston | C4.2.1: Marathon explosion |
C4.2.2: People give blood | |
C4.2.3: Images released showing suspect | |
D3: Ivory Coast | C4.3.1: Terrorist attack on beach hotel |
C4.3.2: Gunmen armed with machine guns | |
C4.3.3: Lots killed |