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Outline of discussion
Topic-Mapper: ai-one for Text




  Twitter Use Case
  Semtech Data -
                  Title
  Schema.org example
  Tom Marsh February 2013



  ai-one™
 biologically inspired intelligence
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 url
info
Assoc Tree for
schema.org – net
is from semtech
tweets

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
Words of Highest
Relevance

closed-doors
Sticking
Supportive
Countless
Bitch
Tagging
Responses
Pre-orders
Trunk
Tap
Jewish
Holiday
LinkedData
Etc.

These words were
checked in source
data for relevance
to schema.org
This image
shows with
just clean
data
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
This image
shows quality
of semantic
after
importing
messy tweets

Displays all
relevant
terms when
zoomed in to
show word
“bitch”
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+)
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
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.
Tom Marsh, COO

ai-one inc.
5711 La Jolla Blvd.,
Bird Rock
La Jolla, CA 92037

phone: +18585310674
Twitter: @tom_semantic
www.ai-one.com
www.ai-braindocs.com



© ai-one inc. 2013

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Twitter Visualization: Semtech Data Feb 2013

  • 1. Outline of discussion Topic-Mapper: ai-one for Text Twitter Use Case Semtech Data - Title Schema.org example Tom Marsh February 2013 ai-one™ biologically inspired intelligence
  • 2. 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 url info
  • 3. Assoc Tree for schema.org – net is from semtech tweets 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
  • 6. 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
  • 7. This image shows quality of semantic after importing messy tweets Displays all relevant terms when zoomed in to show word “bitch”
  • 8. 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+)
  • 9. 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
  • 10. 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.
  • 11. Tom Marsh, COO ai-one inc. 5711 La Jolla Blvd., Bird Rock La Jolla, CA 92037 phone: +18585310674 Twitter: @tom_semantic www.ai-one.com www.ai-braindocs.com © ai-one inc. 2013