Automatic Affective Feedback in an Email Browser

作者: Ted Selker , Hugo Liu , Henry Lieberman

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摘要: This paper demonstrates a new approach to recognizing and presenting the affect of text. The starts with corpus 400,000 responses questions about everyday life in Open Mind Common Sense. so-called commonsense knowledge is basis textual sensing engine. engine dynamically analyzes user’s text senses broad affective qualities story at sentence level. shows how model was constructed incorporated into Chernov face style feedback an affectively responsive email browser called EmpathyBuddy. experimental system reacts sentences as they are typed. It robust enough that it being used send email. response few dozen people have typed dramatically enthusiastic. debuts user interface technique for creating intelligent responses. Instead relying on specialized handcrafted bases this relies generic repository. linguistic or statistical analysis alone “understand” text, small society approaches based

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