According to an official report, UCF team has recently developed a technique that is accurately detecting the sarcasm in the social media text.
The term has highlighted that it refers to an automated process of identifying all the emotions either these are positive, negative or even neutral that are associated with the text.
However, the artificial intelligence (AI) here refers to the logical data analysis along with the response like sentiment analysis to correctly identify the emotional communication on social media platforms.
The team has effectively taught the computer model in order to find the patterns that frequently indicate the sarcasm as well as combined it with teaching the program just to correctly pick out the cue words in any sequences that are likely to indicate the sarcasm.
The model is set to be accurate. According to Assistant Professor of engineering, the Ivan Garibay, “The presence of the sarcasm in any text is the main hindrance in their performance of sentiment analysis.”
