Character-based Sentiment Classifier

<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
---