readme: ---
  license: apache-2.0
  ---
  
  # 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