Tempero and the Associated Press introduce “Overview”, a free, open source platform for extracting meaning from the torrent of social media data faced by, well, pretty much everyone in social media these days.
Created by the Associated Press, Overview helps journalists find stories in large amounts of data, by cleaning, visualizing and interactively exploring large document and data sets.
Turns out, the data mining techniques employed by Overview are also perfect for uncovering nuggets of insight from tweets and other types of social media data, too.
Hosted by Tempero Senior Analyst Mick Conroy and Overview Project Lead Jonathan Stray, this demonstration will outline a clever, practical approach for turning data into useful insight – easily, cheaply and quickly.
A great introduction to simple data mining for data journalists or analysts alike.
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How To Analyse Data
1. How to easily analyse
mountains of data and not
pay a penny
Michael Conroy
Senior Analyst, Tempero
@mickyconroy
Please tweet #smwdatageeks
Jonathan Stray
Project Lead, Overview
@jonathanstray
2. So who are we then?
Mick Conroy
Snr Social Media Analyst
Tempero
Jonathan Stray
Project Lead, Overview
Associated Press
6. Please tweet #smwldn #smwdatageeks
• Journalists!
• How do you deal with WikiLeaks?
• What about Anonymous?
• The problems are very similar
It’s not just “us”…
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• Understanding “how many” is easy
• Understanding WHAT is being said –
conversation analysis - is HARD
Overview and Social?
17. 2. Parse and Filter
interaction.link interaction.content
http://twitter.com/Proud_Libtard/statuse ... RT @Mikoshoes17: majority of the deaths ...
http://twitter.com/FOXXXI/statuses/24734 ... nicki minaj on american idol, even more ...
http://twitter.com/TFitz62/statuses/2473 ... @BarackObama U say ur foreign policy is ...
http://twitter.com/NoDronesCanada/status ... Sept 28 we find out which arm company lo ...
http://twitter.com/ownersmag/statuses/24 ... So GOP solutions to all foreign policy p ...
http://twitter.com/AymenAhmad1/statuses/ ... @KanwalZaidi @SenRehmanMalik The stubbor ...
http://twitter.com/KCruickshank1/statuse ... RT @OwenJones84: Other than propping up ...
http://twitter.com/svdaveo/statuses/2473 ... RT @BuzzFeedAndrew: RT @BuzzFeedPol: Wha ...
http://twitter.com/PacketknifeToo/status ... Marcus Aurelius: CIA Scrambles to Rush S ...
http://twitter.com/RSIClub/statuses/2473 ... Ellip6: from military drones to the Worl ...
http://twitter.com/Gertsevoa/statuses/24 ... Parrot Ar.Drone 2.0 - полетееел ...
http://twitter.com/NooseCorpSE/statuses/ ... RT @OwenJones84: Other than propping up ...
text url
RT @Mikoshoes17: majority of the deaths ... http://twitter.com/Proud_Libtard/statuse ...
nicki minaj on american idol, even more ... http://twitter.com/FOXXXI/statuses/24734 ...
@BarackObama U say ur foreign policy is ... http://twitter.com/TFitz62/statuses/2473 ...
Sept 28 we find out which arm company lo ... http://twitter.com/NoDronesCanada/status ...
So GOP solutions to all foreign policy p ... http://twitter.com/ownersmag/statuses/24 ...
@KanwalZaidi @SenRehmanMalik The stubbor ... http://twitter.com/AymenAhmad1/statuses/ ...
RT @OwenJones84: Other than propping up ... http://twitter.com/KCruickshank1/statuse ...
RT @BuzzFeedAndrew: RT @BuzzFeedPol: Wha ... http://twitter.com/svdaveo/statuses/2473 ...
Marcus Aurelius: CIA Scrambles to Rush S ... http://twitter.com/PacketknifeToo/status ...
Ellip6: from military drones to the Worl ... http://twitter.com/RSIClub/statuses/2473 ...
Parrot Ar.Drone 2.0 - полетееел ... http://twitter.com/Gertsevoa/statuses/24 ...
RT @OwenJones84: Other than propping up ... http://twitter.com/NooseCorpSE/statuses/ ...
23. Please tweet #smwldn #smwdatageeks
• Add methods for people to manipulate
the data, or control what features are
visible
• More importantly...it empowers people
to explore your data!
• Also good for showing off
6. Make it interactive
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• Do something with the data
• If you don’t, you’ve just made expensive
graphs
• What do you know now that you didn’t
know before?
Make decisions
25. Please tweet #smwldn #smwdatageeks
• Look through the rest of Datasift’s data
• Make ever more beautiful (and useful!)
visualisations
What else could you do?