Analysis of Basic Emotions in Texts Based on BERT Vector Representation

• URL: http://arxiv.org/abs/2101.11433v2
• Date: Sun, 31 Jan 2021 12:47:33 GMT
• Title: Analysis of Basic Emotions in Texts Based on BERT Vector Representation
• Authors: A. Artemov, A. Veselovskiy, I. Khasenevich, I. Bolokhov
• Abstract summary: The authors present a GAN-type model and the most important stages of its development for the task of emotion recognition in text. We propose an approach for generating a synthetic dataset of all possible emotions combinations based on manually labelled incomplete data.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In the following paper the authors present a GAN-type model and the most important stages of its development for the task of emotion recognition in text. In particular, we propose an approach for generating a synthetic dataset of all possible emotions combinations based on manually labelled incomplete data.

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