DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus
Table 5: Multi-class classification results based on weighted average of the F1 scores.
['[BOLD] Dataset', '[BOLD] Baseline Models', '[BOLD] Baseline Models', '[BOLD] Baseline Models', '[BOLD] Deep Learning  [BOLD] Keras Embedding', '[BOLD] Deep Learning  [BOLD] Keras Embedding', '[BOLD] Deep Learning  [BOLD] FastText Embedding', '[BOLD] Deep Learning  [BOLD] FastText Embedding']
Just to remind you, initially the dataset has been labeled by five emotions ranged from -2 to +2. 68.344% f1-score has been recorded for its multi-classification rate. On one hand, the top f1-score goes to the suggested B-LSTM model using translation DA and embedded by FastText with 69.33%. It is higher than its relevant machine learning baseline which is 67.62%.