Netapp-Data-Challenge-Kshitij

Machine Learning and Natrual Language Processing contest in Kshitij 2019

41 unique output category variables such as entertainment, sports, arts, queer voices, style, tech, etc.

The challenge is to create a Deep Learning model which can predict the category of a news article given it's headline and it's short description.

Useful Resources

1. https://machinelearningmastery.com/develop-word-embeddings-python-gensim/
2. http://www.joshuakim.io/understanding-how-convolutional-neural-network-cnn-perform-text-classification-with-word-embeddings/
3. http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/

Stepwise Instructions

1. Generating word embeddings.
2. Generating sentence level embeddings.