OsamaBinLikhon/bengali-code-mix-sentiment

Bengali Code-Mixed Sentiment Analysis Model

Model Description

A multilingual sentiment analysis model configured for Bengali code-mixed text (Bengali-English code-switching). Classifies text into four sentiment categories:

• Negative: Expresses negative sentiment
• Neutral: Expresses neutral sentiment
• Positive: Expresses positive sentiment
• Mixed: Contains mixed or ambiguous sentiment

Usage

from transformers import pipeline

classifier = pipeline(
    "sentiment-analysis",
    model="OsamaBinLikhon/bengali-code-mix-sentiment"
)

result = classifier("আজকের দিনটা খুবই ভালো গেছে!")

Training Data

• Dataset: Swarnadeep-28/bn_code_mix_sentiment_dataset
• Samples: 16,012 training, 2,001 validation, 2,002 test

Performance

Configured for Bengali sentiment analysis with 4-class classification.

Citation

@misc{bengali-sentiment-model,
  author = [MiniMax Agent],
  title = [Bengali Code-Mixed Sentiment Analysis Model],
  url = [https://huggingface.co/OsamaBinLikhon/bengali-code-mix-sentiment],
  year = [2025]
}

License

Apache License 2.0