Analysis of Basic Emotions in Texts Based on BERT Vector Representation

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.

8 pages, 2 figures, 5 tables

References in corpus (1)

• A BERT-based Dual Embedding Model for Chinese Idiom Prediction