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首页> 外文期刊>Robotics & Machine Learning Daily News >New Machine Learning Study Findings Recently Were Reported by Researchers at University of Missouri (A Picture Is Worth a Thousand Words: Measuring Investor Sentiment By Combining Machine Learning and Photos From News)
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New Machine Learning Study Findings Recently Were Reported by Researchers at University of Missouri (A Picture Is Worth a Thousand Words: Measuring Investor Sentiment By Combining Machine Learning and Photos From News)

机译:新的机器学习研究发现最近密苏里大学的研究人员报道(图片抵得上一千字:测量投资者情绪结合机器学习从新闻和照片)

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摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Current study results on Machine Learning have been published. According to news reporting from Columbia, Missouri, by NewsRx journalists, research stated, “By applying machine learning to the accurate and cost-effective classification of photos based on sentiment, we introduce a daily marketlevel investor sentiment index (Photo Pessimism) obtained from a large sample of news photos.” Financial support for this research came from University of Missouri Columbia. The news correspondents obtained a quote from the research from the University of Missouri, “Consistent with behavioral mod -els, Photo Pessimism predicts market return reversals and trading volume. The relation is strongest among stocks with high limits to arbitrage and during periods of elevated fear.”
机译:机器人技术与新闻记者新闻编辑机器学习每日新闻每日新闻——电流研究结果对机器学习出版。密苏里州哥伦比亚NewsRx记者,研究指出:“通过应用机器学习准确的和具有成本效益的分类基于情绪图片,我们引入了每天marketlevel投资者情绪指数(照片悲观主义)从大样本获得的新闻照片。”来自密苏里大学哥伦比亚。记者引用研究获得的密苏里州大学的,”一致行为mod els照片悲观预测市场回报率逆转和交易量。之间的关系是最强的股票高限制套利和时期提高恐惧。”

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