An anonymous reader writes with word as reported by The Stack of a new machine learning technology under development at the Technion-Israel Institute of Technology "which can identify emotion in text messages and email, such as sarcasm, irony and even antisocial or suicidal thoughts." Computer science student Eden Saig, the system's creator, explains that in text and email messages, many of the non-verbal cues (like facial expression) that we use to interpret language are missing. His software applies semantic analysis to those online communications and tries to figure out their emotional import and context by looking for word patterns (not just more superficial markers like emoticons or explicit labels like "[sarcasm]"), and can theoretically identify clues of threatening or self-destructive behavior.
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