Developing a better understanding of customer feedback on social media platforms is crucial for brands’ success, but it is incredibly labour-intensive. However, it may have just gotten easier thanks to new research by computer science researchers at the University of Central Florida who has developed a “sarcasm detector”.
A UCF team developed a technique that accurately detects sarcasm in a social media text.
The team effectively taught the computer model to detect patterns that often indicate sarcasm by correctly picking out cue words in sequences that were more likely to indicate sarcasm. They did so by feeding it large data sets and then verifying the accuracy.
“The presence of sarcasm in the text is the main hindrance in the performance of sentiment analysis,” says Assistant Professor of engineering Ivan Garibay.
“Sarcasm is not 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. 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 classify the input text better,” he added.
Source: WIONews
Read More: Artificial Intelligence all ready to transform Pakistani Education System
A new app called "Pak Hajj" has been released by the Ministry of Religious Affairs…
ISLAMABAD: The district administration has declared a school holiday for tomorrow in the Federal Capital…
NetBlocks, a renowned global organization monitoring internet activity, has reported that WhatsApp has been blocked…
The Pakistan Tehreek-e-Insaf (PTI) has publicly appealed to Elon Musk to introduce Starlink internet services…
ISLAMABAD: The Pakistan Telecommunication Authority (PTA) has reportedly started testing a new national firewall to…
During the first four months of the current fiscal year 2024-25, the government imported mobile…