Re: Southampton Python meeting - detecting clickbait using machine learning
Andy Random via Hampshire <[email protected]>
| Newsgroups | gmane.org.user-groups.linux.hampshire,gmane.comp.python.org.uk |
|---|---|
| Message-ID | <[email protected]> |
Thanks for the announcement Thomas. I'm hoping to make it along tonight, as long as I can escape work on time. Andy On Thu, 20 Apr 2017, Thomas Kluyver via Hampshire wrote: > Hi all, > > The next Southampton Python User Group meeting will be a workshop on > text processing and machine learning. If you're coming to this, please > bring a laptop to get the most out of it. > > Detect clickbait with machine learning > > Date: 6pm-7.30pm 3rd May 2017 > Venue: University of Southampton, Nuffield Theatre Room 1083 (6/1083) - > see https://maps.southampton.ac.uk/ > Speaker: Oliver Laslett, Uni of Southampton > > Oliver has kindly agreed to run his tutorial which has already been > accepted for PyData London, so this should be a really interesting > session! Because this session is interactive, it will be a bit longer > than our typical meetings: around 90 minutes. > > Nearer the date, a link to the tutorial materials will be available on > the SPUG website and Google group. I won't spam other lists again for > that, so keep an eye out if you're interested. > http://southampton-python.github.io/ > > As usual, refreshments will be provided before the talk, and everyone is > welcome to join us in the pub afterwards. > > Thanks, > Thomas > > ---- > > With this one weird trick you can build a text processing pipeline! > > We've all fallen for clickbait articles online. They pollute our news > feeds and make it harder to filter out valuable information. In this > workshop we'll stream news articles in real-time and detect clickbait > using simple machine learning techniques. > > By the end of the workshop you'll have your very own python app for > streaming real-time news and detecting click bait. In the workshop we'll > cover: > > - Streaming data from a REST API > - Preprocessing textual data > - Training a simple machine learning classifier for clickbait > - Putting everything together in a scikit-learn pipeline > - Analysing our results (which news source is the most clickbaity?) > > -- > Please post to: [email protected] > Web Interface: https://mailman.lug.org.uk/mailman/listinfo/hampshire > LUG URL: http://www.hantslug.org.uk > -------------------------------------------------------------- -- Please post to: [email protected] Web Interface: https://mailman.lug.org.uk/mailman/listinfo/hampshire LUG URL: http://www.hantslug.org.uk --------------------------------------------------------------