Robotics & Machine Learning Daily News2024,Issue(Jun.10) :19-19.

Reports Summarize Machine Learning Study Results from University of Sousse (A Novel Machine Learning Model for Predicting the Meaning of an Emojis String In Soc ial Media Platforms)

报告总结了苏塞大学(一种用于预测Soc ial媒体平台中表情符号串含义的新型机器学习模型)的机器学习研究结果

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :19-19.

Reports Summarize Machine Learning Study Results from University of Sousse (A Novel Machine Learning Model for Predicting the Meaning of an Emojis String In Soc ial Media Platforms)

报告总结了苏塞大学(一种用于预测Soc ial媒体平台中表情符号串含义的新型机器学习模型)的机器学习研究结果

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-研究人员详细介绍了机器学习的新数据。根据NewsRx记者在突尼斯苏塞进行的新闻报道,研究表明:“本文深入研究了社交媒体这一日益普遍的全球现象如何塑造当今的语言。它专注于表情符号,这是一种迅速发展的交流手段,它偏离了传统的言语和非言语表达,考察了它们对语言发展的影响。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Sousse, Tunisia, by NewsRx journalists, research stated, “This paper delves into how social media, an incr easingly pervasive global phenomenon, shapes the language nowadays. It zeroes in on emojis, a rapidly evolving means of communication that deviates from traditi onal verbal and nonverbal expressions, examining their impact on linguistic deve lopment.”

Key words

Sousse/Tunisia/Cyborgs/Emerging Techn ologies/Machine Learning/University of Sousse

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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