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| license: apache-2.0 |
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| # Model Details |
| * The SENTIMENTAL classifier trained to predict the likelihood that a comment will be perceived as positive or negative. |
| * BERT based Text Classification. |
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| # Intended Use |
| * Intended to be used for a wide range of use cases such as supporting human moderation and extracting polarity of review comments. |
| * Not intended for fully automated moderation. |
| * Not intended to make judgments about specific individuals. |
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| # Factors |
| * Identity terms referencing frequently positive and negative emotions. |
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| # Metrics |
| • Accuracy, which measures the percentage of True Positive and True Negative. |
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| # Ethical Considerations |
| * TODO |
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| # Quantitative Analyses |
| * TODO |
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| # Training Data |
| * TODO |
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| # Evaluation Data |
| * TODO |
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| # Caveats and Recommendations |
| * TODO |
