/Muti-label-Classification-BERT

NLP fine-tuning of BERT for specific use case and multi-label classification architecture

Primary LanguagePython

Muti-label-Classification-BERT

NLP fine-tuning of BERT for specific use case and multi-label classification architecture

Includes:

  • Data Engineering steps for pre training
  • BERT Fine Tuning code (for multi-label specificts - categories and sentiment at once)
  • Evaluation on new data / post-data processing

Published part of project which was reused for my Master Thesis "Does Specific Chatter Matter? Leveraging User Generated Content for experiential product performance. Case Study of implementing NLP BERT-based architecture based on Jabra’s Amazon Online Reviews"