{"id":119981,"date":"2021-05-11T08:00:33","date_gmt":"2021-05-11T12:00:33","guid":{"rendered":"https:/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981//www.ucf.edu/news/wp-json/wp/v2/posts/119981//news/news/wp-json/wp/v2/posts/119981//?p=119981"},"modified":"2023-11-27T14:28:40","modified_gmt":"2023-11-27T19:28:40","slug":"ucf-team-develops-artificial-intelligence-that-can-detect-sarcasm-in-social-media","status":"publish","type":"post","link":"https:/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981//www.ucf.edu/news/wp-json/wp/v2/posts/119981//news/news/wp-json/wp/v2/posts/119981//ucf-team-develops-artificial-intelligence-that-can-detect-sarcasm-in-social-media/news/wp-json/wp/v2/posts/119981//","title":{"rendered":"UCF Team Develops Artificial Intelligence that Can Detect Sarcasm in Social Media"},"content":{"rendered":"<p>Computer science researchers at the 女仆AV have developed a sarcasm detector.</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<p>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.</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<p>That/news/wp-json/wp/v2/posts/119981/u2019s where sentiment analysis comes in. The term refers to the automated process of identifying the emotion /news/wp-json/wp/v2/posts/119981/u2014 either positive, negative or neutral /news/wp-json/wp/v2/posts/119981/u2014 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.</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<p>The team/news/wp-json/wp/v2/posts/119981/u2019s findings were recently published in the <a href=/news/wp-json/wp/v2/posts/119981/"https:/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981//www.mdpi.com/news/wp-json/wp/v2/posts/119981//1099-4300/news/wp-json/wp/v2/posts/119981//23/news/wp-json/wp/v2/posts/119981//4/news/wp-json/wp/v2/posts/119981//394/news/wp-json/wp/v2/posts/119981/">journal <em>Entropy</news/wp-json/wp/v2/posts/119981//em></news/wp-json/wp/v2/posts/119981//a>&nbsp;.</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<p>Effectively the team taught the computer model to find patterns that often indicate sarcasm and combined that with teaching the program to correctly pick out cue words in sequences that were more likely to indicate sarcasm. They taught the model to do this by feeding it large data sets and then checked its accuracy.</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<p>/news/wp-json/wp/v2/posts/119981/u201cThe presence of sarcasm in text is the main hindrance in the performance of sentiment analysis,/news/wp-json/wp/v2/posts/119981/u201d says Associate Professor of engineering <strong>Ivan Garibay /news/wp-json/wp/v2/posts/119981/u201900MS /news/wp-json/wp/v2/posts/119981/u201904PhD</news/wp-json/wp/v2/posts/119981//strong>. /news/wp-json/wp/v2/posts/119981/u201cSarcasm isn/news/wp-json/wp/v2/posts/119981/u2019t always easy to identify in conversation, so you can imagine it/news/wp-json/wp/v2/posts/119981/u2019s pretty challenging for a computer program to do it and do it well. We developed an interpretable deep learning model using multi-head self-attention and gated recurrent units. The multi-head self-attention module aids in identifying crucial sarcastic cue-words from the input, and the recurrent units learn long-range dependencies between these cue-words to better classify the input text./news/wp-json/wp/v2/posts/119981/u201d</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<figure id=/news/wp-json/wp/v2/posts/119981/"attachment_119983/news/wp-json/wp/v2/posts/119981/" style=/news/wp-json/wp/v2/posts/119981/"max-width: 1200px;/news/wp-json/wp/v2/posts/119981/" class=/news/wp-json/wp/v2/posts/119981/"figure/news/wp-json/wp/v2/posts/119981/"><noscript><img decoding=/news/wp-json/wp/v2/posts/119981/"async/news/wp-json/wp/v2/posts/119981/" width=/news/wp-json/wp/v2/posts/119981/"1200/news/wp-json/wp/v2/posts/119981/" height=/news/wp-json/wp/v2/posts/119981/"800/news/wp-json/wp/v2/posts/119981/" class=/news/wp-json/wp/v2/posts/119981/"figure-img  img-fluid w-100 wp-image-119983 size-full/news/wp-json/wp/v2/posts/119981/" 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https:/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981//www.ucf.edu/news/wp-json/wp/v2/posts/119981//wp-content/news/wp-json/wp/v2/posts/119981//blogs.dir/news/wp-json/wp/v2/posts/119981//20/news/wp-json/wp/v2/posts/119981//files/news/wp-json/wp/v2/posts/119981//2021/news/wp-json/wp/v2/posts/119981//05/news/wp-json/wp/v2/posts/119981//ivanGaribay-360x240.jpg 360w/news/wp-json/wp/v2/posts/119981/" data-src=/news/wp-json/wp/v2/posts/119981/"https:/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981//www.ucf.edu/news/wp-json/wp/v2/posts/119981//news/news/wp-json/wp/v2/posts/119981//wp-content/news/wp-json/wp/v2/posts/119981//blogs.dir/news/wp-json/wp/v2/posts/119981//20/news/wp-json/wp/v2/posts/119981//files/news/wp-json/wp/v2/posts/119981//2021/news/wp-json/wp/v2/posts/119981//05/news/wp-json/wp/v2/posts/119981//ivanGaribay.jpg/news/wp-json/wp/v2/posts/119981/"><figcaption class=/news/wp-json/wp/v2/posts/119981/"figure-caption/news/wp-json/wp/v2/posts/119981/">Dr. Ivan Garibay.</news/wp-json/wp/v2/posts/119981//figcaption></news/wp-json/wp/v2/posts/119981//figure>/news/wp-json/wp/v2/posts/119981/n<p>The team, which includes <a href=/news/wp-json/wp/v2/posts/119981/"https:/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981//www.ucf.edu/news/wp-json/wp/v2/posts/119981//degree/news/wp-json/wp/v2/posts/119981//computer-science-phd/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981/">computer science</news/wp-json/wp/v2/posts/119981//a> doctoral student Ramya Akula, began working on this problem under a DARPA grant that supports the organization/news/wp-json/wp/v2/posts/119981/u2019s Computational Simulation of Online Social Behavior program.</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<p>/news/wp-json/wp/v2/posts/119981/u201cSarcasm 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,/news/wp-json/wp/v2/posts/119981/u201d says Brian Kettler, a program manager in DARPA/news/wp-json/wp/v2/posts/119981/u2019s Information Innovation Office (I2O). /news/wp-json/wp/v2/posts/119981/u201cRecognizing sarcasm in textual online communication is no easy task as none of these cues are readily available./news/wp-json/wp/v2/posts/119981/u201d</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<p>This is one of the challenges Garibay/news/wp-json/wp/v2/posts/119981/u2019s <a href=/news/wp-json/wp/v2/posts/119981/"https:/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981//complexity.cecs.ucf.edu/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981/">Complex Adaptive Systems Lab (CASL)</news/wp-json/wp/v2/posts/119981//a> is studying. CASL is an interdisciplinary research group dedicated to the study of complex phenomena such as the global economy, the global information environment, innovation ecosystems, sustainability, and social and cultural dynamics and evolution. CASL scientists study these problems using data science, network science, complexity science, cognitive science, machine learning, deep learning, social sciences, team cognition, among other approaches.</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<p>/news/wp-json/wp/v2/posts/119981/u201cIn face-to-face conversation, sarcasm can be identified effortlessly using facial expressions, gestures, and tone of the speaker,/news/wp-json/wp/v2/posts/119981/u201d Akula says. /news/wp-json/wp/v2/posts/119981/u201cDetecting sarcasm in textual communication is not a trivial task as none of these cues are readily available. Specially with the explosion of internet usage, sarcasm detection in online communications from social networking platforms is much more challenging./news/wp-json/wp/v2/posts/119981/u201d</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<p>Garibay is an associate professor in <a href=/news/wp-json/wp/v2/posts/119981/"https:/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981//iems.ucf.edu/news/wp-json/wp/v2/posts/119981///news/wp-json/wp/v2/posts/119981/">Industrial Engineering and Management Systems</news/wp-json/wp/v2/posts/119981//a>. He has several degrees including a Ph.D. in computer science from UCF. Garibay is the director of UCF/news/wp-json/wp/v2/posts/119981/u2019s Artificial Intelligence and Big Data Initiative. He is also director of the master/news/wp-json/wp/v2/posts/119981/u2019s program in data analytics. His research areas include complex systems, agent-based models, information and misinformation dynamics on social media, artificial intelligence and machine learning. He has more than 75 peer-reviewed papers and more than $9.5 million in funding from various national agencies.</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n<p>Akula is a doctoral scholar and graduate research assistant at CASL. She has a master/news/wp-json/wp/v2/posts/119981/u2019s degree in computer science from&nbsp;Technical University of Kaiserslautern in Germany and a bachelor/news/wp-json/wp/v2/posts/119981/u2019s degree in computer science engineering from&nbsp;Jawaharlal Nehru Technological University, India.</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n","protected":false},"excerpt":{"rendered":"<p>Properly understanding and responding to customer feedback on Twitter, Facebook and other social media platforms is crucial for brands, and it may have just gotten a little easier thanks to research out of UCF.</news/wp-json/wp/v2/posts/119981//p>/news/wp-json/wp/v2/posts/119981/n","protected":false},"author":16,"featured_media":119982,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"lazy_load_responsive_images_disabled":false,"footnotes":"","_links_to":"","_links_to_target":"","_wp_rev_ctl_limit":""},"categories":[5,23,24,1],"tags":[18104,54138,973,1045,2288,10894,15761,14916],"tu_author":[],"class_list":["post-119981","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-colleges","category-research","category-science-technology","category-uncategorized","tag-academic-excellence","tag-artificial-intelligence","tag-college-of-engineering-and-computer-science","tag-computer-science","tag-industrial-engineering","tag-ivan-garibay","tag-pegasus-briefs","tag-research"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v27.3) - 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