This repository contains the various versions of the resource DepecheMood, a high-quality and high-coverage emotion lexicon that has been automatically derived from crowd annotated news.
This is the newest version of the lexicon. It contains two languages (English and Italian), as well as three types of word representations (token, lemma and lemma#PoS). If you use DepecheMood++, please cite the following publication:
Araque, O., Gatti, L., Staiano, J., and Guerini, M. (2018) "DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques". ArXiv preprint is available at https://arxiv.org/abs/1810.03660
Bibtex:
@article{araque2018depechemood++,
title={DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques},
author={Araque, Oscar and Gatti, Lorenzo and Staiano, Jacopo and Guerini, Marco},
journal={arXiv preprint arXiv:1810.03660},
year={2018}
}
The original DepecheMood lexicon released in 2014, English only. If you use this version, please cite the following publication:
Staiano, J., & Guerini, M. (2014). "DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News". Proceedings of ACL-2014. Paper available at http://www.anthology.aclweb.org/P/P14/P14-2070.pdf
Bibtex:
@inproceedings{staiano2014depeche,
title={Depeche Mood: a Lexicon for Emotion Analysis from Crowd Annotated News},
author={Staiano, Jacopo and Guerini, Marco},
booktitle={Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
volume={2},
pages={427--433},
year={2014}
}
If you want to play with it, we also have an online DEMO to analyze the emotions evoked by a text: www.depechemood.eu Currently, this demo uses the 2014. We will update it soon.
This resource can be used for research purposes. Please cite the publications above if you use it.