social media - cortical.io business case

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Drinking from the Firehose How Semantic Fingerprinting makes the Social Media Stream affordable contact [email protected]

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Page 1: Social media - cortical.io business case

Drinking from the FirehoseHow Semantic Fingerprinting makes the Social Media Stream affordable

contact [email protected]

Page 2: Social media - cortical.io business case

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Raw-Data for Social Media Analytics

timely

worldwide

generic

completeSocial Media

Firehose

Brands &

Businesses

Volume

Variety

Velocity

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Filtering Out Relevant Data is Expensive

multi-language, vocabulary mismatch, ambiguity, keyword based

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The Solution: Semantic Content Filter

real-time, across languages, intelligent, meaning based

#finance#markets

#mobile

#movies#products

#trend

Topic of interest

Analytics

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Example: Twitter Filter The State of the Art

desired topic

Every tweet related to

smart phones

200 catch words

mobile phone

Iphone

cell

Android

sim-card

text message

network

Verizon

AppleGoogle

5 words per tweet

Required throughput for one filter 200 X 5 X 20,000 = 20,000,000 comparisons per second

20,000 tweets/sec

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The State of the Art

Cost per Filter: $ 10,000+ per Month

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Example: Twitter Filter Semantic Fingerprinting

stream of semantic fingerprintstwitter firehose

realtime content sub-stream

Filter Fingerprint

not matching

matchmatchmatch

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Cost per Filter: $ 10 per Month

Cortical.io Streaming Text Filter

convert 100.000+tweets per second

1.000+ semantic filters

+

one per firehose scalable with number of Filters

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How does this work

?

Page 10: Social media - cortical.io business case

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The Cortical.io Retina Technology …

… converts any text into a semantic fingerprint.

teens like playing good music with their mobile

phonesFingerprint Generation

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organ

Step 1: Word Fingerprints

piano

church

liver

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aggregation +

sparsification

Step 2: Text Fingerprintsteens like to hear music on their mobile phones

teens like to hear music on their mobile

phones

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Similar meanings …

… look similar

37% overlap

teens like using itunes on their iphone he consumes chart hits on his notebook

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Different meanings …

… look different

the fishermen are sailing out of

5% overlap

teens like using itunes on their iphone the fishermen are sailing out of the harbor

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The more the Retina Engine knows …

“cholecystitis”

… the better it sees

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philosophy philosophie filosofía философия فلسفة 哲學EN FR ES RU AR ZH

Every meaning looks the same …

… in all languages

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Why does this work

?

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Semantic Folding Theory

• Based on recent findings in Neuroscience

• Implemented as Unsupervised Machine Learning approach

• Replaces complex statistical modeling by Binary Matching

• 10x simpler to use, 100x more precision, 1000x faster

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website: cortical.io

product: https://aws.amazon.com/marketplace/pp/B00T5794P6/

twitter: http://twitter.com/cortical_io

video: https://www.youtube.com/watch?v=g3ZxJokDpds

demos: http://www.cortical.io/demos.html

API: http://api.cortical.io

Numenta: http://numenta.com