Text Analytics API for Sentiment Analysis

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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  • Eric D.

    Great topic and interesting presentation

    February 7, 2013

  • Scott M.

    Have a great event all! Our startup Quikly is based in the Madison and I would love to attend but I'm back in NYC this week. Looking forward to meeting the rest of the group next time I'm there. Also, if anyone knows any Ruby developers in the area please let me know... we are growing our team. -Scott

    February 5, 2013

  • Raghu K.

    Yes I will be coming

    February 4, 2013

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