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tk-yasuno / disaster-question-answer

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Japanese disaster-focused question answering system : Utilizing the bert-base-japanese-v3 + Bi-LSTM + Enhanced Position Heads ultimate architecture, achieving 70.4% End Position accuracy. The combination of Japanese BERT optimization and Bi-LSTM contextual understanding realizes accuracy levels suitable for real disaster response.

transformers pytorch question-answering bi-lstm disaster-response machine-reading-comprehension japanese-nlp hadr emergency-information bert-bilstm bert-base-japanese-v3 enhanced-position-heads
  • Updated Jan 25, 2026
  • Python

kktoh1105 / Sentiment-Analysis-of-Mental-Health-Social-Media-Text

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A final year project on sentiment analysis of mental health text using machine learning, deep learning, and transformer models. Includes full code and datasets.

python nlp machine-learning deep-learning sentiment-analysis random-forest jupyter-notebook cnn transformer xgboost logistic-regression mental-health bert socialmedia nlp-sentiment-classifier bilstm cnn-bilstm extratreesclassifier bert-bilstm
  • Updated Jul 12, 2025
  • Jupyter Notebook

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