Study | Technique | Results | ||
---|---|---|---|---|
P | R | F | ||
Part-A Baselines | N-gram + SVM [12] | 73 | 78 | 79 |
Bag of words +SVM [13] | 73 | 74 | 73 | |
TF-IDF +RF | 78 | 84 | 90 | |
BOW + KNN [8] | 76 | 75 | 76 | |
Part-B Deep learning methods with variants | CNN + word embedding LSTM + word embedding FastText + word embedding GRU + word embedding | 84 86 87 85 | 84 86 87 85 | 84 86 87 85 |
Part-C Proposed | LSTM + CNN | 0.90 | 0.88 | 0.88 |