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Lexicon-Enhanced Multi-Task Convolutional Neural Network for Emotion Distribution Learning
2022
Axioms
Emotion distribution learning (EDL) handles emotion fuzziness by means of the emotion distribution, which is an emotion vector that quantitatively represents a set of emotion categories with their intensity of a given instance. Despite successful applications of EDL in many practical emotion analysis tasks, existing EDL methods have seldom considered the linguistic prior knowledge of affective words specific to the text mining task. To address the problem, this paper proposes a text emotion
doi:10.3390/axioms11040181
fatcat:slpbpbkvizctdjw5zqhstogsi4