Analyzing Text & Images: Webinar
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Transcript of Analyzing Text & Images: Webinar
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Huge amountof user-generated
content
NOT searchable
&understandable
NOT monetizable
The Status Quo
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Imagga’s Auto-Tagging Technology
Analysisof pixel data
Neural Networks(deep learning)
Image Classifier2 700+ objects
20 000+ terms/concepts
[tag]
[tag]
[tag]
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2 700+ object classes recognition deep-learning based, recognizing objects in the world around us
How it works:
20 000+ conceptual conclusionse.g. ‘computer’ + ‘desk’ => ‘office’, ‘work’, ‘business’
semantic expansion e.g. ‘car’ => ’vehicle’, ‘mean of transportation’
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Imagga’s Auto-Tagging API
Upload an imageor
give public image URL
Get JSON list of tagswith confidence %
(and Wordnet Synset IDif it is an object)
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Use-Cases in:
• Contextual Advertising / Profiling Users• Managing UGC (user-generated content)• Trend Detection and Re-engagement• Personal Photo Cloud Services• DAM (Digital Asset Management)• Photo Marketplaces• Image Processing Platforms
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Auto-Categorization (including custom)to be integrated in the S4 suite
Multi-language Support50 languages other than English
Upcoming Features
Instant Feedback Looplearning immediately based on user interaction