Studies by | Algorithm | Main features | Best outcome metrics | |
---|---|---|---|---|
Accuracy (%) | Cohen’s κ | |||
McKlin et al. (2001) | Simple neural networks | Dictionary-based words and phrases | 68 | 0.31 |
Corich et al. (2006) | Bayesian network | Dictionary-based words and phrases | 71 | – |
Kovanović et al. (2014) | Support vector machine | Bag-of-words, n-grams, and structural features | 58.4 | 0.41 |
Waters et al. (2015) | Conditional random fields | Bag-of-words, n-grams, and more structural features | 64.2 | 0.48 |
Kovanović et al. (2016) | Random forest | LIWC, Coh-Metrix, LSA, structural features | 70.3 | 0.63 |
Neto et al. (2018) | Random forest | LIWC, Coh-Metrix, word embeddings, structural features | 83 | 0.72 |
Farrow et al. (2019) | Random forest | Same as Kovanović et al. (2016) | 61.7 | 0.46 |
Barbosa et al. (2020) | Random forest | Same as Kovanović et al. (2016) | 67 | 0.32 |
Neto et al. (2021) | Random forest | Same as Kovanović et al. (2016) | 76 67a 57b | 0.55 0.2 0.38 |