EmoTxt: A Toolkit for Emotion Recognition from Text
August 13, 2017 ยท Declared Dead ยท ๐ 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Fabio Calefato, Filippo Lanubile, Nicole Novielli
arXiv ID
1708.03892
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CL
Citations
126
Venue
2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
Last Checked
2 months ago
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.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Human-Computer Interaction
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
๐ป
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
๐ป
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
๐ป
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
๐ป
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted