BERT Fine-Tuned for Sentiment Analysis

This model is a fine-tuned version of bert-base-uncased for sentiment classification of civic-related public feedback.

Task

  • Sentiment Analysis
  • Classes: Negative, Neutral, Positive

Dataset

The dataset consists of manually annotated civic-related user comments written in English, Filipino, and Taglish.

Training

  • Framework: Hugging Face Transformers
  • Epochs: (put your value)
  • Batch size: (put your value)
  • Optimizer: AdamW

Intended Use

Academic research and sentiment analysis of public service feedback.

Limitations

The model may not generalize well to domains outside civic-related comments.

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