Fine-tune BERT (bert-base-uncased) for sentiment classification on the Sentiment140 Twitter dataset using the Hugging Face Transformers library with PyTorch.
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Updated
Apr 28, 2025 - Python
Fine-tune BERT (bert-base-uncased) for sentiment classification on the Sentiment140 Twitter dataset using the Hugging Face Transformers library with PyTorch.
A comparative study of Sentiment Analysis using state-of-the-art BERT Transformers and traditional Recurrent Neural Networks (RNN, LSTM, GRU). Evaluates performance metrics on the Sentiment140 dataset.
End-to-end Twitter sentiment analysis using NLP and Logistic Regression on the Sentiment140 dataset, including text preprocessing, TF-IDF vectorization, model training, evaluation, and persistence.
Cross-domain sentiment analysis pipeline comparing classical machine learning (TF-IDF + Logistic Regression) with modern transformer architectures (DistilBERT) to measure out-of-domain performance drops.
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