ELM-Based Active Learning via Asymmetric Samplers: Constructing a Multi-Class Text Corpus for Emotion Classification
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DOI: 10.3390/sym14081698
Abstract: A high-quality annotated text corpus is vital when training a deep learning model. However, it is insurmountable to acquire absolute abundant label-balanced data because of the huge labor and time costs needed in the labeling… read more here.
Keywords: active learning; emotion; multi class; emotion classification ... See more keywords