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Table 4 Evaluation set of events

From: The early bird catches the term: combining twitter and news data for event detection and situational awareness

ID

Event

μ max

Keyword

Node

ID

Event

μ max

Keyword

Node

SAL-11-08

YES

20

Sadness

London

HFB-10-04

YES

5

Hayfever

Birmingham

HFM-01-06

YES

19

Hayfever

Manchester

VOL-20-04

YES

5

Vomit

London

SAL-07-04

YES

14

Sadness

London

SAC-05-05

YES

5

Sadness

Cardiff

FEL-18-07

YES

13

Fear

London

HFL-04-07

NO

5

Hayfever

London

ASL-02-04

YES

12

Asthma

London

FLB-23-09

NOa

5

Flu

Birmingham

FLP-06-10

YES

11

Flu

Portsmouth

VPBR-10-05

YES

4

VeryPos

Bristol

HAM-02-04

YES

9

Happy

Manchester

FRL-30-05

YES

4

Fever

London

HAM-18-04

YES

9

Happy

Manchester

FLM-19-09

YES

4

Flu

Manchester

SAL-08-07

YES

8

Sadness

London

VOL-22-02

NO

3

Vomit

London

HALE-01-08

YES

8

Happy

Leeds

HFB-29-04

NO

3

Hayfever

Birmingham

HFL-14-05

YES

7

Hayfever

Leeds

JONO-23-02

YES

2

Joy

Norwich

SUN-29-08

YES

7

Surprise

Newcastle

HEM-06-03

NO

2

Headache

Manchester

ITL-08-06

YES

6

Itch

London

SUC-23-05

NO

2

Surprise

Cardiff

SAB-09-06

YES

6

Sadness

Birmingham

SUL-16-08

NO

1

Surprise

London

HABE-01-03

YES

5

Happy

Bridgend

FEBR-17-04

NO

0

Fear

Bristol

SAL-21-03

YES

5

Sadness

London

STL-26-08

NO

0

Sore Throat

London

HFC-09-04

YES

5

Hayfever

Cardiff

     
  1. Shows whether events were externally verifiable and their μ max value
  2. aNote: this event not confirmed by the GP in hours report of that week. However, the following week showed an increase and it is possible that social media detected increased Influenza activity before this was confirmed by GP visits