首页|New Machine Learning Findings from Catholic Kwandong University Published (An Em pirical Study on Document Similarity Comparison Evaluation Between Machine Learn ing Techniques and Human Experts)
New Machine Learning Findings from Catholic Kwandong University Published (An Em pirical Study on Document Similarity Comparison Evaluation Between Machine Learn ing Techniques and Human Experts)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Gangwon Do, South Kore a, by NewsRx correspondents, research stated, “Current machine-learning training focuses solely on accuracy.” Our news journalists obtained a quote from the research from Catholic Kwandong U niversity: “In this study, the weights of other dimensions were examined rather than measuring only the accuracy of machine learning. By comparatively analyzing the decision-making of machine learning and humans in various fields, this stud y examines how well organizational vision is propagated to lower levels of the o rganization. Also, the results evaluated by humans and machine learning models w ere comparatively analyzed from multiple perspectives. As numerical representati on methods of words, count-based models (Bag of Words, TFIDF), artificial neura l network (ANN) models (Word2Vec, GloVe), and a vision propagation measurement ( VPMS) model combining two methods were used to calculate the similarity between documents, which are comparatively analyzed with the actual results measured by an expert group. The findings of this study can be used as an evaluation metric for how effectively the vision of the upper organization is being disseminated t o the lower-level organizations. Additionally, it could be utilized in developin g algorithms such as customer segmentation for target marketing using text data.
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