首页|Shandong Technology and Business University Reports Findings in Machine Learning (How Users’ Personality Traits Predict Sentiment Tendencies of User-Generated C ontent in Social Media: A Mixed Method of Configuration Analysis and Machine Lea rning)

Shandong Technology and Business University Reports Findings in Machine Learning (How Users’ Personality Traits Predict Sentiment Tendencies of User-Generated C ontent in Social Media: A Mixed Method of Configuration Analysis and Machine Lea rning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting out of Yantai, People’s Repub lic of China, by NewsRx editors, research stated, “Social mediacontent created by users with different personality traits presents various sentiment tendencies , easilyleading to irrational public opinion. This study aims to explore the re lationships between users’ personalitytraits and sentiment tendencies of user-g enerated content (UGC).”

YantaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.26)