A sentiment analysis pipeline for classifying hotel reviews as positive or negative, using models ranging from traditional ML to BERT-based Transformers.
- π Multi-model benchmark: Logistic Regression, CNN, BiLSTM, BERT, LSTM, and Tranformers
- π§Ό Full preprocessing pipeline: tokenization, stopword removal, lemmatization
- π€ Integrated with HuggingFace Transformers
- π Custom training loop with gradient clipping and DataLoader
- π Visualizations: word cloud, confusion matrix, accuracy plots