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