/Deep-Learning-for-NLP

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Deep-Learning-for-NLP

Project 1

Vaccine sentiment classifier using softmax regression.

Project 2

Vaccine sentiment classifier with 3 classes (neutral, anti-vax and pro-vax) using feed-forward neural networks and GloVe word embedding vectors.

Project 3

Sentiment classifier with 3 classes (pro-vax, anti-vax, neutral) using a bidirectional stacked RNN with LSTM/GRU cells, attention layer and GloVe word embedding vectors.

Project 4

Task 1:

Sentiment classifier with 3 classes (pro-vax, anti-vax, neutral) by fine-tuning the pretrained BERT-base model

Task 2:

Model for question answering on the dataset SQuAD 2.0