Bootstrapping Social Emotion Classification with Semantically Rich Hybrid Neural Networks.
IEEE Transactions on Affective Computing(2017)
摘要
Social emotion classification aims to predict the aggregation of emotional responses embedded in online comments contributed by various users. Such a task is inherently challenging because extracting relevant semantics from free texts is a classical research problem. Moreover, online comments are typically characterized by a sparse feature space, which makes the corresponding emotion classificatio...
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关键词
Neural networks,Semantics,Unsupervised learning,Feature extraction,Encoding,Computational modeling,Emotion recognition
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