Studies from University of Malaya Describe New Findings in Machine Learning (Inv estigating the Importance of Hyperboles To Detect Sarcasm Using Machine Learning )

马来亚大学的研究报告描述了机器学习的新发现(研究了用机器学习检测讽刺的夸张的重要性)

Robotics & Machine Learning Daily News2024，Issue(Nov.14) ：2-2.

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Studies from University of Malaya Describe New Findings in Machine Learning (Inv estigating the Importance of Hyperboles To Detect Sarcasm Using Machine Learning )

马来亚大学的研究报告描述了机器学习的新发现(研究了用机器学习检测讽刺的夸张的重要性)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可用。根据来自马来西亚吉隆坡，NewsRx J Ournalists的一项研究指出：“本研究旨在改进讽刺检测机制的多重双曲，如感叹词，加强词，大写字母，标点符号和拉长的单词。由当前流行相关标签组成的非偏倚数据集使用了#chinesevirus和#kungflu。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reporting fromKuala Lumpur, Malaysia, by NewsRx j ournalists, research stated, “The present study aims to improvesarcasm detectio n mechanisms using multiple hyperboles such as interjection, intensifiers, capit al letters,punctuation, and elongated words. A non-bias dataset consisting of t he current pandemic related hashtagswas used, namely #Chinesevirus and #Kungflu.”

Key words

Kuala Lumpur/Malaysia/Asia/Cyborgs/E merging Technologies/Machine Learning/University of Malaya

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出版年

2024

Robotics & Machine Learning Daily News

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