Sunday 9:45 AM–10:15 AM in C11

Text Classification using Convolutional Neural Networks in Tensorflow (NLP using DL)

Ronit Kishore

Audience level:
Intermediate

Description

In this talk, I'll speak about how CNNs can be used for Text Classification. I'll go into the details of gathering and preprocessing data, the basics of CNNs for NLP, defining a CNN architecture for text classification, and using word embeddings such as word2vec and GloVe, and learning your own word embeddings from scratch, all in Tensorflow.

Abstract

We'll be building a CNN for text classification using the Rotten Tomatoes movie review dataset. This is how the talk will proceed: - Going from Computer Vision to NLP using CNNs (Representing words as vectors and different channels) - Where and how CNNs are currently being used in NLP (a brief literature review) - Gathering and preprocessing data - Basic CNN architecture we'll be using (Different layers) - Visualising the results - Extensions and different tips and tricks

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