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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.
The liveProject is for intermediate Python programmers who know the basics of data science. To begin this liveProject, you will need to be familiar with the following:TOOLS
In this liveProject, you’ll master PyTorch-based text summarization, a useful and easily transferable data science task. Text summarization can be applied to many real-world applications such as legal document summarization, classified document analysis, spam detection, and more.
geekle is based on a wordle clone.