sepedi-sentiment-classifier

Sepedi Sentiment Classifier v1.0

Developer: TSEBO SOVEREIGN TECH | Licensed to Sediba AI NPC
Language: Sepedi / Northern Sotho (nso)
Task: Sentiment Classification
License: Apache-2.0 + Community Sovereignty License

Model Description

BERT-based sentiment classifier for Sepedi. Trained on 1,495,728 professional linguistic texts from SADiLaR (South African Centre for Digital Language Resources).

This is the first public sentiment classifier for Sepedi, developed as part of the Sediba AI community intelligence platform serving Limpopo.

Usage

from transformers import pipeline

classifier = pipeline('text-classification', 
                     model='Sediba-AI/sepedi-sentiment-classifier')

result = classifier('Ubuntu o motle')
print(result)

Training Data

Model Details

• Base Model: BERT (bert-base-multilingual-cased)
• Framework: Hugging Face Transformers
• Training Samples: 1,495,728
• Labels: POSITIVE, NEGATIVE, NEUTRAL
• Accuracy: 100% on internal test set (n=40)

Governance

Data Sovereignty: Yarena Framework (Sediba AI governance layer)
Community Benefit: Kutollo Exchange (75% Community / 15% NPC / 10% Developer)
Consent Model: FPIC (Free, Prior and Informed Consent)

Citation

@misc{sediba_ai_sepedi_sentiment_2026,
  title={Sepedi Sentiment Classifier: Community-Sovereign NLP},
  author={Lemekoana, Lehlohonolo Owen and TSEBO SOVEREIGN TECH},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/Sediba-AI/sepedi-sentiment-classifier}
}

License

Dual-licensed under Apache-2.0 (research use) and Community Sovereignty License (commercial use).

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Developed by: TSEBO SOVEREIGN TECH (Pty) Ltd
For: Sediba AI NPC | Mankweng, Limpopo, South Africa
GitHub: sediba-ai