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nlp-projects

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Built a cross-lingual sentiment analysis model over 8+ languages for monolingual and cross-lingual tasks, achieving Sentiment Graph F1 of 0.55 (cross-lingual) and 0.559 (monolingual) using RoBERTa with CRF for span extraction and polarity classification.

  • Updated Aug 21, 2025
  • Python

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