Sarcasm Detector: A new tool developed by Researchers of UCF
The team at the UCF made new algorithms to detect patterns that often show sarcasm by precisely picking out cue words in sequences that were more prone to indicate sarcasm. They performed this function by feeding the algorithms with large data sets and then verifying their accuracy. The Assistant Professor of engineering at UCF, Ivan Garibay said, The sarcasm detector will assist in developing a better understanding of customer feedback on social media platforms. Customer feedback is pivotal for any brands’ success, but it is very labor-intensive. However, the efforts of computer science researchers at the University of Central Florida must be lauded who have developed a sarcasm detector to help the content creators. Check out? Now Update MS Paint & Snipping Tool via Microsoft Store
