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We've spent the last 6 months building, deploying and refining a text analytics API that detects sentiment, emotion, intensity and spam in social media content.

We'll cover the basics of how it evolved (internal library to full blown API), how it's hosted, how we scale it, and lessons learned.

Then we'll move on to some real world examples and show code (Javascript and Scala) of the API in action.

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