README.md

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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.

# 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.

# Factors
* Identity terms referencing frequently positive and negative emotions.

# Metrics
• Accuracy, which measures the percentage of True Positive and True Negative.

# Ethical Considerations
* TODO

# Quantitative Analyses
* TODO

# Training Data
* TODO

# Evaluation Data
* TODO

# Caveats and Recommendations
* TODO