首页|Research Conducted at University of Illinois Has Provided New Information about Machine Learning (W2vpca: a Machine Learning Method for Measuring Attitudes With Natural Language)
Research Conducted at University of Illinois Has Provided New Information about Machine Learning (W2vpca: a Machine Learning Method for Measuring Attitudes With Natural Language)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting from Chicago, Illinois, by NewsRx jo urnalists, research stated, “Company strategy influences many decisions in freig ht transportation. Behavioral models of company decision-making therefore could benefit from including strategy variables.” Financial support for this research came from U. The news correspondents obtained a quote from the research from the University o f Illinois, “However,strategy is difficult to observe and quantify. Attitudinal surveys of company executives can be used to collect measurements of latent str ategy to use in quantitative models. However, surveys are costly and burdensome. Text mining methods to collect measurements overcome these issues somewhat, but typically require manual intervention and ignore the context of words, which ca n be problematic. This study introduces a new machine learning method to generat e strategy measurement data from existing big text data. The new method, called W2VPCA, combines Natural Language Processing and Principal Components Analysis. W2VPCA produces measurement data that serve as quantitative indicators of latent strategy in behavioral models. W2VPCA is unsupervised, data-driven, and uses in formation on word context. We apply W2VPCA to generate measurements of latent st rategies using readily available, large-scale text data: annual company reports. The empirical measurements are used successfully to associate two latent strate gies, one focusing on distribution and the other on products, with truck fleet a nd distribution center outsourcing decisions. The main empirical outcome is that the W2VPCA measurements outperform Bag-of-Words measurements in a psychometric analysis of latent firm strategies.”
Chicago, Illinois, United States, North and Central America, Cyborgs, Emerging Technologies, Machine Learning, Universit y of Illinois
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