NEW YORK â Computer science researchers including an Indian American at the University of Central Florida have developed an artificial intelligence-based sarcasm detector for posts on social media platforms. Sarcasm has been a major hurdle to increasing the accuracy of sentiment analysis, especially on social media, since sarcasm relies heavily on vocal tones, facial expressions and gestures that cannot be represented in text. While artificial intelligence refers to logical data analysis and response, sentiment analysis is akin to correctly identifying emotional communication on social media. "The presence of sarcasm in text is the main hindrance in the performance of sentiment analysis," says Ivan Garibay, assistant professor of engineering from Complex Adaptive Systems Lab at University of Central Florida.