NLP Case Studies: News Scraping Translation & Summarization

Natural Language Processing    |    Intermediate
  • 7 videos | 43m 4s
  • Includes Assessment
  • Earns a Badge
Rating 4.3 of 8 users Rating 4.3 of 8 users (8)
Keeping up with current events can be challenging, especially when you live or work in a country where you do not speak the language. Learning a new language can be difficult and time-consuming when you have a busy schedule. In this course, you will learn how to scrape news articles written in Arabic from websites, translate them into English, and then summarize them. First, focus on the overall architecture of your summarization application. Next, discover the Transformers library and explore its role in translation and summarization tasks. Then, create a user interface for the application using Gradio. Upon completion of this course, you'll be able to use an application to scrape data written in Arabic from any URL, translate it into English, and summarize it

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline the overall architecture of a text summarization application
    Import appropriate libraries and perform data scraping
    Load appropriate models and perform translation
  • Load the summarization model and perform summarization
    Develop a ui using gradio
    Summarize the key concepts covered in this course

IN THIS COURSE

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