Social Media Monitoring– Episode 3: Enhancing  the  Results  of  Your  BI  Dashboard

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Housekeeping Items

• Webinar slides, live recording and Q&A will be emailed

• Ask questions at any time during the presentation - Use chat window on the webinar panel - We're on Twitter: @IBMWatson #BuildingWithWatson

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Our Experts:

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Zach WalchukDeveloper Evangelist,WDC

Alyssa SimpsonOffering Manager,Watson Vision

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Our Goals• We want to give you all the tools

you need to build a social media monitoring app – a tool for understanding the conversation around your brand

• Today, we'll show you how to integrate Twitter and Visual Recognition into the BI Dashboard

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Visual  Recognition

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Image  Tagging

Text  from  images

Visual  Learning

Facial  Detection

Link  extraction

Use  Case:  “Tell  me  If  there  is  a  person  is  in  this  picture  so  that  I  can  identify  them”  

Use  case:  “Get  the  most  relevant  image  off  of  this  website  URL”

Use  Case:  “Give  me  natural  language  which  describes  this  image  ”  

BETA:  Use  Case:  “Transcribe  any  text  or  natural  language  contained  in  this  image”

Use  Case:  “Learn  about  my  custom  content  in  this  image  as  a  unique  classifier”

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5 Things To Know About This Change

1. The results for classifying have better ACCURACY2. The results for classifying are FASTER3. Pricing has changed. Classifying is CHEAPER4. You need new API credentials (see docs)5. There are new calls (see docs)

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Expanding our BI Dashboard• Send company name to Twitter Search

API, filtering results to return only those with images

• Send all images through the Image Tagging API of the Visual Recognition service

• Aggregate image keywords and display the most frequently used

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Are you ready to get started?

• Twitter: - Search API, Auth, Node.js Library

• Visual Recognition:- Docs, Demo

• BI Dashboard:- Original, Modified

• Join our Slack channel for more discussion following the webinar

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Demo: Are your key influencers old enough to drink?Posting selfies with booze is a popular social media meme. But how can marketers filter out underage people who participate in this activity from any targeted marketing campaigns? Computer vision can help!

Please join Ditto Labs executives for a demo illustrating how the Ditto SocialStream API and IBM classifiers can be quickly combined to answer the question are your key influencers old enough to drink?

VP Engineering, Tacita Morway, CTO, Neil Mayle and President, Josh Wachman will participate in the webinar and guide you through a code-sample you can try yourself. Rest assured we are all old enough to drink (and code)!

Please visit us at ditto.us.com and consider developing your own app by visiting dev.startditto.com.

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Q&A

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What’s next?• Look out for a follow up email with a copy of these slides, a recording of

the webinar, Q&A recap, and additional resources

• The series continues bi-weekly on Wednesdays @ 12pm ET / 9am PT

•Watson App Developer Certification - Wednesday, June 1•Social Media Monitoring in Practice - Wednesday, June 15

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Thank you for attending!

Contact usPhone: 1-877-253-0308

Email: wdc-dev@bg.vnet.ibm.comOnline: Watson Developer Cloud