Author | k-fold cross-validation | Sentiment analysis | Text classification | ||
Classifier | Performance | Classifier | Performance | ||
Alemi et al34*† | Five repetitions of twofold cross-validation | SVM | Positive 0.89 Negative 0.64 | SVM | Staff related 0.85 Doctor listens 0.34 |
NB | Positive 0.94 Negative 0.68 | NB | Staff related 0.80 Doctor listens 0.37 | ||
Doing-Harris et al24* | NR | NB | 0.84 | NB | Explanation 0.74 Friendliness 0.40 |
Greaves et al27 | Single-fold cross-validation | NB SVM | 0.89 0.84 | NB SVM | Dignity and respect 0.85 Cleanliness 0.84 Dignity and respect 0.8 Cleanliness 0.84 |
Hawkins et al52 | 10-fold cross-validation | – | – | SVM | 0.89‡ |
Jimenez-Zafra et al54 | 10-fold cross-validation | SVM | COPOD 0.86 COPOS 0.71 | – | – |
Huppertz et al6 | NR | SVM | 0.87‡ | – | – |
Wagland et al48 | Single-fold cross-validation 10-fold cross-validation | SVM | 0.80 | – | – |
SVM | 0.83 | – | – | ||
Bahja et al26 | Single-fold cross-validation 4-fold cross-validation | SVM NB | 0.84 0.78 | – | – |
SVM NB | 0.81 0.78 | – | – |
*Best and worst performing category, respectively.
†Classified as praise (positive), complaint (negative).
‡Reported as overall accuracy.
COPOD, corpus of patient opinions in Dutch; COPOS, corpus of patient opinions in Spanish; NB, Naïve Bayes; NR, not reported; SVM, support vector machine.