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sentiment_classifier
EgemenIpek/sentiment_classifier
sentiment_classifier is a machine learning model from EgemenIpek. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
<h1Character-based Sentiment Classifier</h1
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At a glance
- Model type
- canine
- Access
- Public
- Created
- Oct 24, 2024
- Updated
- Oct 24, 2024
- SHA
- db45a581
Model card
From the Hugging Face model README
<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
- Type
- canine
- Created
- Oct 24, 2024
- Updated
- Oct 24, 2024