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. 2017 May 3;3(2):e24. doi: 10.2196/publichealth.6396

Table 4.

Detail of annotations in Twitter. The first column shows the element being evaluated. Columns 2-5 show the inter annotator agreement scores of pharmacist 1 (Ph1) and pharmacist 2 (Ph2) using relaxed and strict constraints. Columns 6 and 7 show the number of elements annotated by each pharmacist. Columns 8 and 9 show the number of matching elements between pharmacist’s annotations using relaxed and strict constraints.

Annotated element Ph1
(relaxed
constraints)
Ph2
(relaxed
constraints)
Ph1
(strict
constraints)
Ph2
(strict
constraints)
#Ph1 #Ph2 #Matches
(relaxed
constraints)
#Matches
(strict
constraints)
Drug 97.39 98.72 93.52 94.80 1111 1096 1082 1039
Disease 50.86 91.47 46.12 82.95 464 258 236 214
Symptom 77.23 76.71 54.21 53.84 1164 1172 899 631
Outcome-negative 63.27 75.19 43.02 51.12 795 669 503 342
Outcome-positive 11.01 40.00 8.26 30.00 109 30 12 9
Reason-to-use 55.82 60.18 44.66 48.14 842 781 470 376
Duration 46.37 8.96 39.11 7.56 248 1283 115 97
Exemplification 10.11 64.77 3.37 21.59 564 88 57 19
Modality 56.92 30.58 49.57 26.63 585 1089 333 290
Person 72.56 58.55 60.21 48.58 1709 2118 1240 1029
Polarity 76.06 52.43 53.52 36.89 71 103 54 38
Sentiment 72.48 19.46 60.92 16.36 476 1773 345 290
Severity 64.18 19.59 44.03 13.44 134 439 86 59
Status 59.41 22.07 45.94 17.07 542 1459 322 249