▲ 2 points

Show HN: Desational – Removing Sensation, Fluff and Nonsense from News

by joeblau·7y ago·3 comments·view on hn ↗

Hello HNers,

On Dec 27, 2018 I started working on this side project as a way to dive into natural language processing and machine learning. The question I had: Could I take a news article and remove all of the sensation, fluff, and non-news content from it?

The result: Desational. What this project consists of the following components:

    - newsapi.org data source
    - Desationalizer source code repo for machine teaching, training, and prediction.
    - Hugo Static Website
    - GitLab pipleline corn jobs updating the site every hour

I'll have more detailed blog posts about how I teach, train, and predict using machine learning, but I wanted to share here and get feedback on the project?

https://desational.com

Man there are a lot of articles about the Galaxy S10?

Is this removing whole sensational articles or is it removing sensational content from articles or both?

This is removing sensational content from the articles. It's using a model to determine which sentences in the article are "not news" and stripping those out.

So if there was some article about Donald Trump it would strip all or most of the sentences?