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.
@article{arxiv.2101.11433,
title = {Analysis of Basic Emotions in Texts Based on BERT Vector Representation},
author = {A. Artemov and A. Veselovskiy and I. Khasenevich and I. Bolokhov},
journal= {arXiv preprint arXiv:2101.11433},
year = {2021}
}