Public dataset from the BBC comprised of 2225 articles, each labeled under one of 5 categories: business, entertainment, politics, sport or tech.
The dataset is broken into 1200 records for training and other for testing. The goal will be to build a system that can accurately classify previously unseen news articles into the right category.
The following Model is then Analyzed Using Tensorflow Embedding Projector by making Vector , Meta_Data file and Uploading to Embedding Projector
