metadata
language:
- en
- tl
pipeline_tag: text-classification
base_model: bert-base-uncased
license: mit
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.