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New AI detects sarcasm in social media
Computer science researchers at the University of Central Florida have developed a sarcasm detector.
Social media has become a dominant form of communication for individuals, and for companies looking to market and sell their products and services. Properly understanding and responding to customer feedback on Twitter, Facebook and other social media platforms is critical for success, but it is incredibly labor intensive.
That’s where sentiment analysis comes in. The term refers to the automated process of identifying the emotion either positive, negative or neutral associated with text. While artificial intelligence refers to logical data analysis and response, sentiment analysis is akin to correctly identifying emotional communication. A UCF team developed a technique that accurately detects sarcasm in social media text. ....

Ramya Akula , Brian Kettler , Ivan Garibay , Information Innovation Office , Garibay Complex Adaptive Systems Lab , University Of Central Florida , Central Florida , Assistant Professor , Computational Simulation , Online Social Behavior , Innovation Office , Complex Adaptive Systems Lab , பிரையன் கெட்லர் , இவன் கரிபாய் , தகவல் கண்டுபிடிப்பு அலுவலகம் , பல்கலைக்கழகம் ஆஃப் மைய புளோரிடா , மைய புளோரிடா , உதவியாளர் ப்ரொஃபெஸர் , கணக்கீட்டு உருவகப்படுத்துதல் , நிகழ்நிலை சமூக நடத்தை , கண்டுபிடிப்பு அலுவலகம் ,