/news-at-eight

Predict the category of a news story using Facebook's fastText

Primary LanguageCSS

News at Eight

This is a simple Flask application that demonstrates topic modeling. It attempts to guess the category of a news article, such as World, Business, or Sports, from the headline or a few lines of text. It has been deployed to Heroku at https://news-at-eight.herokuapp.com.

The training data is from the AG News Corpus.

The model was build using fastText from Facebook Research.

Deploying to Heroku

$ heroku create
$ git push heroku master
$ heroku open

or

Deploy

Documentation

For more information about using Python on Heroku, see these Dev Center articles:

License

Copyright 2019 David Radcliffe (dradcliffe@gmail.com)

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.