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Update README.md
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README.md
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license: apache-2.0
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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
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