| <h1>Character-based Sentiment Classifier</h1> | |
| 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 these scores in the test set: | |
| * Accuracy: 0.82174688057041 | |
| * Precision: 0.8252264610535646 | |
| * Recall: 0.8259560973518955 | |
| * F1 Macro: 0.820257587240921 | |
| * F1 Micro: 0.82174688057041 | |
| --- | |
| license: cc-by-4.0 | |
| language: | |
| - en | |
| metrics: | |
| - f1 | |
| base_model: | |
| - google/canine-s | |
| pipeline_tag: text-classification | |
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