You’ve been hired by a news media company, and they plan to start a new way to provide news to their subscribers. They are planning to send weekly newsletters to subscribers' inboxes. For that, they need to summarize the news articles into an important summary so that if subscribers liked the news and want to continue reading, they can, or else they can skip to the next news.
So, your job as a Data Scientist is to summarize news articles in compressed text that contains the article's most important information. So, in this project, you’ll learn how to summarize the text in short form using machine learning and deep learning approaches. You’ll learn different summarization techniques, such as Extractive and Abstractive Summarization. You’ll use cnn_dailymail datasets in this project to experiment and build models.
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