首页|New Machine Learning Findings from Erasmus University Reported (Examining Strate gic Diversity Communication On Social Media Using Supervised Machine Learning: D evelopment, Validation and Future Research Directions)

New Machine Learning Findings from Erasmus University Reported (Examining Strate gic Diversity Communication On Social Media Using Supervised Machine Learning: D evelopment, Validation and Future Research Directions)

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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 reportingoriginating from Rotterdam, Netherlands, by NewsRx correspondents, research stated, “In this paper, wepresent a digital tool named Diversity Perspectives in Social Media (DivPSM) which conducts automated content analysis of strategic diversity communication in organizational soc ial media posts, usingsupervised machine -learning. DivPSM is trained to identi fy whether a post makes mention of diversity ora diversity -related issue, and to subsequently code for the presence of three diversity dimensions (cultural/ethnic/ racial, gender, and LHGBTQ+ diversity) and three diversity perspectives (t he moral, market, andinnovation perspectives).”

RotterdamNetherlandsEuropeCyborgsEmerging TechnologiesMachine LearningErasmus University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.17)