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Mining Empathy: Extracting Emotion from Language in Social Media

Hosted by POSSIBLE

Thursday, March 2, 2017

New York

Media

0:25 minutes

Brands have universally embraced social media as a mechanism to reach out to existing and potential consumers. Yet our over-emphasis on volume and media metrics to measure what is a relationship-focused medium is a weakness, and occasionally blinds the marketing industry into believing things that aren’t there.

Rather than focus on base reach, we propose using Natural Language Processing to extract how people are feeling about a subject as a much more effective mechanism for determining how we interact with them at a brand level. In this talk, we will:

  • Review the current state and gaps of social media measurement
  • Define a new approach to model and measure emotional values from social conversation
  • Explore some use cases where empathy modeling can provide unique insights into how brands might communicate differently with customers

Session Speakers

Jason  Carmel

Jason Carmel

Chief Data Officer, POSSIBLE

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