Skip to content

This project is creating a corpus of news articles about the 2023 WGA and SAG-AFTRA strikes to be analyzed using Natural Language Processing. Currently the goal is to compare how different types of publications (traditional news, tech news, trade publications) reported on the strike.

License

Notifications You must be signed in to change notification settings

ChristianCme/strike-news-analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 

Repository files navigation

strike-news-analysis

This project is creating a corpus of news articles about the 2023 WGA and SAG-AFTRA strikes to be analyzed using Natural Language Processing. Currently the goal is to compare how different types of publications (traditional news, tech news, trade publications) reported on the strike.

Data will be gathered using NewsCatcher API. More info at https://newscatcherapi.com/

About

This project is creating a corpus of news articles about the 2023 WGA and SAG-AFTRA strikes to be analyzed using Natural Language Processing. Currently the goal is to compare how different types of publications (traditional news, tech news, trade publications) reported on the strike.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published