Social Data UK meeting up at the Shard (Gallup 18th Floor)

25/05/2016

Presenter from Brandwatch and Pulsar

Not a bad view – first time up the #shard for “analysing images in social data” @Meetup #SocialDataUK pic.twitter.com/4siTCkNcjT

— Alice Data (@alice_data) May 25, 2016

Why is Visual Listening Important ?

Why do visual listening? brand protection, brand monitoring and consumer insights #SocialDataUK pic.twitter.com/zSTqFRDQui

— Alice Data (@alice_data) May 25, 2016

Why bother?

Every day millions of images are shares but @Brandwatch is working on logo pattern recognition #SocialDataUK pic.twitter.com/M5TmijHIgp

— Alice Data (@alice_data) May 25, 2016

But there are constraints – misidentified logo , low frequency and randomness #socialdatauk pic.twitter.com/rbBCSCqmsX

— Alice Data (@alice_data) May 25, 2016

Monitoring the good & bad of brand being shared through visual listening #SocialDataUk pic.twitter.com/ueycgF1l8y

— Alice Data (@alice_data) May 25, 2016

Deep learning can be used to help remove noise & rude shares from public social walls #SocialDataUK

— Alice Data (@alice_data) May 25, 2016

Next Step on pattern recognition to machine learning

History lesson-it’s taken us 1000yrs for us get back to pics of day-to-day life (painting to photos) #socialdatauk pic.twitter.com/7aIERYLf4Q

— Alice Data (@alice_data) May 25, 2016

“We share 1.8billion images on social media everyday” via @abc3d @Pulsar_Social #socialdatauk pic.twitter.com/YWzSEqdCFD

— Alice Data (@alice_data) May 25, 2016

Key to Social images analysis : explore, mine, visualise, contextualise #socialdatauk via @abc3d pic.twitter.com/A1xzA0oWRs

— Alice Data (@alice_data) May 25, 2016

 

Key to Social images analysis : explore, mine, visualise, contextualise #socialdatauk via @abc3d pic.twitter.com/A1xzA0oWRs

— Alice Data (@alice_data) May 25, 2016

Types of Image analysis

Types of image analysis via @abc3d @Pulsar_Social #socialdatauk pic.twitter.com/MEpcCLEC5g

— Alice Data (@alice_data) May 25, 2016

Nothing is perfect

Image analysis-there are problems…too much for the machine to understand, lack of interface&storage #SocialDataUK pic.twitter.com/gx39W7Lsc0

— Alice Data (@alice_data) May 25, 2016

Application ideas
– Recognise brands and sponsorship
– Recognise Building or objects
– Automated Object identification and content (good training needed)