EmoTxt: A toolkit for emotion recognition from text

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 toolki...

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Published in2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) pp. 79 - 80
Main Authors Calefato, Fabio, Lanubile, Filippo, Novielli, Nicole
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.10.2017
Subjects
Emotion recognition
Gold
Libraries
Support vector machines
Training
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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.
AbstractList 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.
Author Lanubile, Filippo
Calefato, Fabio
Novielli, Nicole
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Snippet 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...
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SubjectTerms Emotion recognition
Gold
Libraries
Support vector machines
Training
Title EmoTxt: A toolkit for emotion recognition from text
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