Re: [Hampshire] Southampton Python meeting - detecting click…

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Author: Andy Random
To: Thomas Kluyver, Hampshire LUG Discussion List
CC: python-uk
Subject: Re: [Hampshire] Southampton Python meeting - detecting clickbait using machine learning

Thanks for the announcement Thomas.

I'm hoping to make it along tonight, as long as I can escape work on time.


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
> 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.
> 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: Hampshire@???
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> --------------------------------------------------------------

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