Text summarization is a powerful data science technique. It allows vital high-level information to be automatically extracted from reams of text data, without any slow and expensive human analysis.
In this liveProject, you’ll master text summarization techniques for summarizing news data by building a tool that can extract key information about COVID-19 from news articles using the PyTorch deep learning library. Your challenges will include cleaning your data set, building an attention-based deep learning model, and evaluating the success of your model using TensorBoard and ROUGE scores.