Table 7 Performance of deep models with word embeddings (results in %age).
From: Using deep learning and word embeddings for predicting human agreeableness behavior
Models | Embeddings | Accuracy | Precision | Recall | F1-Score |
|---|---|---|---|---|---|
LSTM | Word2Vec | 86.48 | 85.96 | 87.09 | 86.51 |
GloVe | 89.39 | 88.57 | 90.3 | 89.38 | |
Sentence Embeddings | 90.17 | 89.54 | 91.05 | 90.2 | |
Bi-LSTM | Word2Vec | 85.37 | 84.63 | 86.17 | 85.34 |
GloVe | 91.34 | 90.58 | 92.19 | 91.33 | |
Sentence Embeddings | 91.57 | 90.38 | 92.09 | 91.15 |
