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Researchers develop artificial intelligence that can detect sarcasm in social media

Researchers develop artificial intelligence that can detect sarcasm in social media
ANI |
Updated: May 11, 2021 23:08 IST
Washington [US], May 11 (ANI): Properly understanding and responding to customer feedback on social media platforms is crucial for brands, and it may have just gotten a little easier thanks to new research by computer science researchers at the University of Central Florida who 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 are critical for success, but it is incredibly labour-intensive. ....

United States , Ramya Akula , Brian Kettler , Ivan Garibay , Information Innovation Office , Garibay Complex Adaptive Systems Lab , University Of Central Florida , Big Data Initiative , Central Florida , Assistant Professor , Computational Simulation , Online Social Behavior , Innovation Office , Complex Adaptive Systems Lab , Industrial Engineering , ஒன்றுபட்டது மாநிலங்களில் , பிரையன் கெட்லர் , இவன் கரிபாய் , தகவல் கண்டுபிடிப்பு அலுவலகம் , பல்கலைக்கழகம் ஆஃப் மைய புளோரிடா , பெரியது தகவல்கள் முயற்சி , மைய புளோரிடா , உதவியாளர் ப்ரொஃபெஸர் , கணக்கீட்டு உருவகப்படுத்துதல் , நிகழ்நிலை சமூக நடத்தை , கண்டுபிடிப்பு அலுவலகம் ,

Sarcasm detectior, sentiments | Homeland Security Newswire

Published 7 May 2021
Sentiment analysis – the process of identifying positive, negative, or neutral emotion – across online communications has become a growing focus for both commercial and defense communities. Sentiment can be an important signal for online information operations to identify topics of concern or the possible actions of bad actors. The presence of sarcasm – a linguistic expression often used to communicate the opposite of what is said with an intention to insult or ridicule – in online text is a significant hindrance to the performance of sentiment analysis.
Sentiment analysis – the process of identifying positive, negative, or neutral emotion – across online communications has become a growing focus for both commercial and defense communities. Understanding the sentiment of online conversations can help businesses process customer feedback and gather insights to improve their marketing efforts. From a defense perspective, sentiment can be an ....

Brian Kettler , Information Innovation Office , Sarcasm Detector For Online Communications , University Of Central Florida , Sarcasm Detector , Innovation Office , Central Florida , Online Social Behavior , Internet Argument Corpus , பிரையன் கெட்லர் , தகவல் கண்டுபிடிப்பு அலுவலகம் , பல்கலைக்கழகம் ஆஃப் மைய புளோரிடா , கண்டுபிடிப்பு அலுவலகம் , மைய புளோரிடா , நிகழ்நிலை சமூக நடத்தை ,

Researchers develop artificial intelligence that can detect sarcasm in social media

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IMAGE: Dr. Garibay is investigating ways to make artificial intelligence smarter when it comes to detecting and appropriately responding to human emotions.
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Credit: University of Central Florida
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 communicati ....

Ramya Akula , Brian Kettler , Ivan Garibay , Technical University Of Kaiserslautern , Garibay Complex Adaptive Systems Lab , University Of Central Florida , Big Data Initiative , Information Innovation Office , Jawaharlal Nehru Technological University , Central Florida , Assistant Professor , Computational Simulation , Online Social Behavior , Innovation Office , Complex Adaptive Systems Lab , Industrial Engineering , Technical University , பிரையன் கெட்லர் , இவன் கரிபாய் , பல்கலைக்கழகம் ஆஃப் மைய புளோரிடா , பெரியது தகவல்கள் முயற்சி , தகவல் கண்டுபிடிப்பு அலுவலகம் , ஜவஹர்லால் நேரு தொழில்நுட்ப பல்கலைக்கழகம் , மைய புளோரிடா , உதவியாளர் ப்ரொஃபெஸர் , கணக்கீட்டு உருவகப்படுத்துதல் ,

New AI detects sarcasm in social media - ScienceBlog.com

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 ,