EmoTxt: A Toolkit for Emotion Recognition from Text
Human-Computer Interaction
2021-07-30 v2 Computation and Language
Abstract
We present EmoTxt, a toolkit for emotion recognition from text, trained and tested on a gold standard of about 9K question, answers, and comments from online interactions. We provide empirical evidence of the performance of EmoTxt. To the best of our knowledge, EmoTxt is the first open-source toolkit supporting both emotion recognition from text and training of custom emotion classification models.
Cite
@article{arxiv.1708.03892,
title = {EmoTxt: A Toolkit for Emotion Recognition from Text},
author = {Fabio Calefato and Filippo Lanubile and Nicole Novielli},
journal= {arXiv preprint arXiv:1708.03892},
year = {2021}
}
Comments
In Proc. 7th Affective Computing and Intelligent Interaction (ACII'17), San Antonio, TX, USA, Oct. 23-26, 2017, p. 79-80, ISBN: 978-1-5386-0563-9