News Classification

Context

This data is collected by me on daily basis from inshorts news webapp.

Content

This dataset have 3 columns named as news_headline, news_article, and news_category. It also contain news from 7 different categories like technology,sports,politics,entertainment,world,automobile and science.

Example

• news_headline :- Musk's Boring Company shares a glimpse of Las Vegas loop station.

• news_article :- The Boring Company shared a short clip on Twitter showing one of the underground stations that the company is building as part of its Las Vegas Convention Center (LVCC) loop. In September, Founder Elon Musk said the first operational tunnel under Vegas was almost complete. ""Tunnels under cities with self-driving electric cars will feel like warp drive,"" he had added.

• news_category:- technology

Inspiration

• What types of machine learning models perform best on this dataset?
• How multiclass classification works?

More Info

Github