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.
Apr 29, 2021
The multimedia performance art piece is set to begin in-person performances at New York Cityâs Liberated Fitness May 1. Celia Mei Rubin, Jennifer Smith (projected), and Hannah Balagot in
Fragments, a live audio story Olivia Palacios
After a sold-out premiere at Dixon Place in 2019, the performance art piece
Fragments, a live audio story will return with in-person performances at New York Cityâs Liberated Fitness May 1. The production, directed and choreographed by Mandie Rapoza, is scheduled to run Saturdays and Sundays through May 16.
Written by Brian Kettler with an original score by Kate Marlais,
Fragments tells the story of an Austria-born Alzheimer s patient as she wrestles with moments of her past including a childhood involvement with the Hitler Youth, as she confronts deep-held regrets and hard truths left unspoken.