twitter visualization: semtech data feb 2013
DESCRIPTION
Visualization tool used to see if ai-one's biologically inspired computing can discern meaningful associations in the mess of tweets from a technical conference. This capability serves as the foundation for building intelligent agents and other applications allowing human interpretation of large data sets.TRANSCRIPT
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Title
Outline of discussionTopic-Mapper: ai-one for Text
biologically inspired intelligence
ai-one™
Twitter Use Case
Semtech Data -
Schema.org exampleTom Marsh February 2013
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Can ai-one make sense out of twitter data?
Source data is a file of tweets #semtech from days during the conference-
Total file is approx 7800 lines of tweets, original data shown at right. Messy original and clean data are used in this case
“cleaning” included removing time and urlinfo
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Assoc Tree for schema.org – net is from semtechtweets
Circle indicates area zoomed on next slides
Schema.org was mentioned over 120 times and was a subject of discussion at the conference as industry was not pleased at the announcement by Google, Microsoft and Yahoo of their own standard
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Words of Highest Relevance
closed-doorsStickingSupportiveCountlessBitchTaggingResponsesPre-ordersTrunkTapJewish HolidayLinkedDataEtc.
These words were checked in source data for relevance to schema.org
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This image shows with just clean data
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This image versus first slide shows increased quality of semantic after importing messy tweets on top of clean tweets –
Demonstrating simple programmatic enhancement without losing original associations
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This image shows quality of semantic after importing messy tweets
Displays all relevant terms when zoomed in to show word “bitch”
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This image shows increased quality of semantic after importing clean tweets on top of messy tweets
Note fewer terms of greater relevance (14 vs 18+)
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Did the word make “sense”?
The word “bitch” was used in only one
tweet and accurately paraphrased the
conversation
7:35 nopiedra <http://www.twitter.com/nopiedra> #linkeddata RT
@paul_houle <http://www.twitter.com/paul_houle>: was a bit
depressed that people at #semtech would rather bitch about
schema.org than swap war stories
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Your brain on twitter..
Need to understand how your audience
“sees” twitter? Our new visualization tool
allow you to filter, tag, and act on twitter
streams.
NathanApp was announced in Zurich February 27th and Baja Mexico
February 28th. Now developers have the tool they need to make
big data personal.
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Tom Marsh, COO
© ai-one inc. 2013
ai-one inc. 5711 La Jolla Blvd., Bird RockLa Jolla, CA 92037
phone: +18585310674Twitter: @tom_semanticwww.ai-one.comwww.ai-braindocs.com