Sequence Models for NLP

Summary

Applying RNNs/LSTMs (from Phase 9) specifically to text — processing a sequence of word embeddings to capture context and order, the pre-Transformer standard for tasks like sentiment analysis.

• 1Build a simple LSTM-based text classifier on a small labeled dataset.
• 2Compare its performance to a simpler Bag of Words / TF-IDF baseline model.
• 3Learn why sequence order matters for meaning in ways Bag of Words completely ignores.