A new machine learning system is being developed by the Israeli computer science student which can easily identify the emotion of the text and indicates what it is?
The new computerized system, created by Eden Saig titled ‘Sentiment Classification of Texts in Social Networks.’
The system works by recognising repeated word patterns and was developed
by Saig after he studied a course in artificial intelligence (AI)
supervised by his Professor Shaul Markovich.Applying machine learning algorithms to the Facebook pages, Saig was able to use the results to pick out same kind of habits in social network conversations.
“Now, the system can recognise patterns that are either condescending or caring sentiments and can even send a text message to the user if the system thinks the post may be arrogant,” said Saig.
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