A UCF team developed a technique that accurately detects sarcasm in a social media text.
Recognizing sarcasm in textual online communication is no easy task as none of these cues is readily available.
Washington: 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.
The team taught the computer model to find patterns that often indicate sarcasm and combined that with teaching the programme 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.
Know all about AI system that can detect sarcasm in social media posts
Sarcasm isn t always easy to identify in conversation, so you can imagine it`s pretty challenging for a computer program to do it and do it well. Representational Image. , File Photo
Updated: May 9, 2021, 08:18 PM IST
Computer science researchers including one of Indian-origin at the University of Central Florida have developed an artificial intelligence (AI)-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 the text.
This AI system can detect sarcasm in social media posts
By IANS |
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Artificial Intelligence.. Image Source: IANS News
New York, May 8 : Computer science researchers including one of Indian-origin at the University of Central Florida have developed an artificial intelligence (AI)-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 (AI) refers to logical data analysis and response, sentiment analysis is akin to correctly identifying emotional communication on social media.