首页|Studies from Xi’an University of Posts and Telecommunications Provide New Data o n Intelligent Systems (Modeling Multiple Latent Information Graph Structures Via Graph Convolutional Network for Aspect-based Sentiment Analysis)
Studies from Xi’an University of Posts and Telecommunications Provide New Data o n Intelligent Systems (Modeling Multiple Latent Information Graph Structures Via Graph Convolutional Network for Aspect-based Sentiment Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning - Intelligent Systems are discussed in a new report. According to news reporting originating in Shaanxi, People’s Republic of China, by NewsRx journalists,rese arch stated, “Aspect-based sentiment analysis (ABSA) aims to determine the senti ment polarityof aspects in a sentence. Recently, graph convolution network (GCN ) model combined with attentionmechanism has been used for ABSA task over graph structures, achieving promising results.”
ShaanxiPeople’s Republic of ChinaAsi aIntelligent SystemsMachine LearningXi’an University of Posts and Telecomm unications
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