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README.md
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<h1>Character-based Sentiment Classifier</h1>
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---
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license: cc-by-4.0
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language:
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<h1>Character-based Sentiment Classifier</h1>
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This sentiment classifier classifies textual data into three classes: Positive, Neutral, Negative.
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The classifier is based on google/canine-s, therefore, character-based. Thus, keep in mind that text pre-processing will affect results significantly.
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After fine-tuning, the model these achieved scores in the test set:
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Accuracy: 0.82174688057041, Precision: 0.8252264610535646, Recall: 0.8259560973518955, F1 Macro: 0.820257587240921, F1 Micro: 0.82174688057041
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---
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license: cc-by-4.0
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language:
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