首页|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)
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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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.”
MontrealCanadaNorth and Central Amer icaCyborgsEmerging TechnologiesMachine LearningMcGill University
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