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