Part of Speech
In this sub-module, we will be pondering upon Part of Speech tagging, NER, topic modelling, and text classification.
Natural Processing Language and Deep Learning for NLP
This is going to be a comprehensive sub-module as we will learn about the sequence-based model along with gradients such as the Vanishing Gradient and Exploding Gradient. We will pour some light on the idea behind Recurrent Neural Networks, Long Short-Term Memory, Gated Recurrent Unit GRU, and Batching Sequence Models. We will learn about text classification using deep learning approaches such as RNN, CNN, LSTM, and Bi-directional LSTM, and information retrieval using word embedding. The module will also involve the prediction of the next word or sequence of words using LSTM in Natural Language Generation. It will cover Transformers and BERT and text summarization using an LSTM encoder and decoder too.