Robotics & Machine Learning Daily News2024,Issue(MAY.20) :21-21.

Recent Studies from McGill University Add New Data to Machine Learning (Covering the Campaign: Computational Tools for Measuring Differences In Candidate and Pa rty News Coverage With Application To an Emerging Democracy)

Robotics & Machine Learning Daily News2024,Issue(MAY.20) :21-21.

Recent Studies from McGill University Add New Data to Machine Learning (Covering the Campaign: Computational Tools for Measuring Differences In Candidate and Pa rty News Coverage With Application To an Emerging Democracy)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Montreal, Canada, by NewsRx correspondents, research stated, “How does media coverage of electoral campaign s distinguish parties and candidates in emerging democracies? To answer, we pres ent a multistep procedure that we apply in South Africa. First, we develop a th eoretically informed classification of election coverage as either ‘narrow’ or ‘ broad’ from within the entire corpus of news coverage during an electoral campai gn.”

Key words

Montreal/Canada/North and Central Amer ica/Cyborgs/Emerging Technologies/Machine Learning/McGill University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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