EmoTxt: A Toolkit for Emotion Recognition from Text

08/13/2017
by   Fabio Calefato, et al.
0

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.

READ FULL TEXT

page 1

page 2

research
01/08/2023

Emotion Recognition from Microblog Managing Emoticon with Text and Classifying using 1D CNN

Microblog, an online-based broadcast medium, is a widely used forum for ...
research
05/09/2023

Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit

Automatic group emotion recognition plays an important role in understan...
research
05/22/2016

openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit

We introduce openXBOW, an open-source toolkit for the generation of bag-...
research
03/22/2019

EMTk - The Emotion Mining Toolkit

The Emotion Mining Toolkit (EMTk) is a suite of modules and datasets off...
research
05/27/2023

ArPanEmo: An Open-Source Dataset for Fine-Grained Emotion Recognition in Arabic Online Content during COVID-19 Pandemic

Emotion recognition is a crucial task in Natural Language Processing (NL...
research
08/21/2023

Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models

After the inception of emotion recognition or affective computing, it ha...
research
07/25/2021

MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox

We introduce the MuSe-Toolbox - a Python-based open-source toolkit for c...

Please sign up or login with your details

Forgot password? Click here to reset