Empathy is the ability to emotionally understand what other people feel, see things from their point of view, and imagine yourself in their place. Despite its importance, empathy has been proven hard to capture.
By leveraging recent advances in machine learning and natural language processing, we develop models that measure situational empathy, an immediate empathic response of a person to a triggering situation, from potentially any text. By mining linguistic and semantic characteristics of the language markers expressed by a person’s textual responses, we can accurately predict that person’s level of situational empathy. We also created a lexicon containing words that we found to be empirically related to situational empathy.
Our computational models and lexicons for situational empathy can facilitate an in-depth understanding of empathy at scale and in the wild, enabling applications for promoting empathic communication.
Empathy for SP 500 Companies: Launch demo
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