Applying Deep Learning for NLP using Python - Workshop
T. A. Subramanya Paddillaya (~t._a._subramanya) |
Deep Learning has revolutionized areas like Speech recognition. Recently, deep learning approaches have obtained very high performance across many different NLP tasks. In this workshop, we will see the application of deep learning to common NLP Tasks and implementation in python using Keras Library.
Since this is a broad topic, considering the workshop duration I have concentrated on word embeddings and text classification.
Agenda for the Talk:
An Introduction to Deep learning - MLP, CNN and RNN and its implementation in Keras
Word Embeddings - Word2Vec and Glove
Embed, Encode, Attend, Predict -Framework for applying Deep Learning methods for NLP, Example: Document classification using Hierarchical Attention Network
Sentiment Analysis with 1D-CNN and LSTM
A Basic Knowledge of Python, Machine Learning, Deep Learning and Natural Language Processing.
The content of the talk will be shared in the form of the Github Repository.
Subramanya T A is Senior Data Scientist at Sentienz. He heads the Data Science team at Sentienz.
LinkedIn Profile: https://www.linkedin.com/in/subramanya-t-a-7306a729/
Sentienz Website - http://www.sentienz.com/