- Assess how well the word embedding model captures semantic and syntactic relationships between words (word2vec).
- Practice training and analyzing a neural network model (LSTM, RNN), and reflect on the model's logical understanding of arithmetic operations.
- Build a model for multi-output learning to classify the dataset into NEUTRAL, ENTAILMENT, and CONTRADICTION sentiments.