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

Table 6.

Detail of annotations in Twitter using the conflation strategy. 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 or symptom 82.25 93.64 61.36 69.86 1628 1430 1339 999
Outcome-negative 67.30 79.97 46.29 55.01 795 669 535 368
Benefit 68.14 79.90 52.37 61.41 951 811 648 498
Duration 50.00 9.66 41.94 8.11 248 1283 124 104
Exemplification 10.11 64.77 3.37 21.59 564 88 57 19
Modality 64.44 34.62 54.53 29.29 585 1089 377 319
Person 77.30 62.37 63.96 51.61 1709 2118 1321 1093
Polarity 80.28 55.34 57.75 39.81 71 103 57 41
Sentiment 75.00 20.14 62.61 16.81 476 1773 357 298
Severity 67.16 20.50 47.01 14.35 134 439 90 63
Status 61.81 22.96 48.15 17.89 542 1459 335 261