Souradip Chakraborty

Summarize News Articles with NLP and TensorFlow

News Media Corp needs to be quick if they want to get ahead of their competitors. Their current news frontpage is put together manually, in a time consuming process where human editors create flashcards that summarize articles. It’s too slow—so senior management wants to supercharge the process using natural language processing. To get this built, they’ve turned to you. Your challenge in this liveProject is to create an NLP model that can reduce turnaround time for news editors with an automatic text summarizer. To do this, you’ll need to prepare and process your dataset with tokenization and padding, extract meaningful statistics from it, and finally use your dataset to train a deep learning model that can speedily summarize a body text.