Character-based Sentiment Classifier
This sentiment classifier classifies textual data into three classes: Positive, Neutral, Negative.
The classifier is based on google/canine-s, therefore, character-based. Thus, keep in mind that text pre-processing will affect results significantly.
After fine-tuning, the model these achieved scores in the test set:
Accuracy: 0.82174688057041, Precision: 0.8252264610535646, Recall: 0.8259560973518955, F1 Macro: 0.820257587240921, F1 Micro: 0.82174688057041