News media is an important source of information for understanding the context of the world. To make it easier to access and process the contents of news sites Lucas Ou-Yang built the Newspaper library that aids in automatic retrieval of articles and prepare it for analysis. In this episode he shares how the project got started, how it is implemented, and how you can get started with it today. He also discusses how recent improvements in the utility and ease of use of deep learning libraries open new possibilities for future iterations of the project.
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- Your host as usual is Tobias Macey and today I’m interviewing Lucas Ou-Yang about Newspaper, a framework for easily extracting and processing online articles.
- How did you get introduced to Python?
- Can you start by describing what the Newspaper project is and your motivations for creating it?
- What are the main use cases that Newspaper is built for?
- What are some libraries or tools that Newspaper might replace?
- What are the common structures in news sites that allow you to abstract across them for content extraction?
- What are some ways of determining whether a site will be a good candidate for using with Newspaper?
- Can you talk through the developer workflow of someone using Newspaper?
- What are some of the other libraries or tools that are commonly used alongside Newspaper?
- How is Newspaper implemented?
- How has the design of he project evolved since you first began working on it?
- What are some of the most complex or challenging aspects of building an automated article extraction tool?
- What are some of the most interesting, unexpected, or innovative projects that you have seen built with Newspaper?
- What keeps you interested in the ongoing support and maintenance of the project?
- What do you have planned for the future of Newspaper?
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