Natural Language Processing
Fine-Tuned BERT for Sentiment Analysis
A deep learning NLP model fine-tuned for sentiment classification.
Completed: Mai 2024
About This Project
A sentiment analysis project that fine-tunes the BERT transformer model using Hugging Face Transformers. The pipeline includes data preprocessing, tokenization, model fine-tuning, and evaluation on a sentiment dataset. This project demonstrates the power of transfer learning in NLP tasks.