The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Depeche Mood: a Lexicon for Emotion Analysis from Crowd Annotated News
Open accessAbstract
While many lexica annotated with words polarity are available for sentiment analysis, very few tackle the harder task of emotion analysis and are usually quite limited in coverage. In this paper, we present a novel approach for extracting - in a totally automated way - a high-coverage and high-precision lexicon of roughly 37 thousand terms annotated with emotion scores, called DepecheMood. Our approach exploits in an original way 'crowd-sourced' affective annotation implicitly provided by readers of news articles from rappler.com. By providing new state-of-the-art performances in unsupervised settings for regression and classification tasks, even using a na\"ıve approach, our experiments show the beneficial impact of harvesting social media data for affective lexicon building.
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Constants across cultures in the face and emotion.
Ekman, P., & Friesen, W. V. (1971) · Journal of Personality and Social Psychology · doi:10.1037/h0030377 · Cited by 5,509
Lexicon-based methods for sentiment analysis
Taboada, M., Brooke, J., Tofiloski, M., Voll, K., & Stede, M. (2011) · Computational Linguistics · doi:10.1162/coli_a_00049 · Cited by 3,301
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Depression and Self-Harm Risk Assessment in Online Forums
Yates, A., Cohan, A., & Goharian, N. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1322 · Cited by 323
Sentiment analysis: A survey on design framework, applications and future scopes
Bordoloi, M., & Biswas, S. K. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10442-2 · Cited by 183
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
Xu, P., Madotto, A., Wu, C.-S., Park, J. H., & Fung, P. (2018) · Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis · doi:10.18653/v1/w18-6243 · Cited by 83
EMA at SemEval-2018 Task 1: Emotion Mining for Arabic
Badaro, G., El Jundi, O., Khaddaj, A., Maarouf, A., Kain, R., Hajj, H., & El-Hajj, W. (2018) · Proceedings of The 12th International Workshop on Semantic Evaluation · doi:10.18653/v1/s18-1036 · Cited by 60
Metadata
- Authors
- Staiano, J., & Guerini, M.
- Venue
- Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Published
- 2014
- Pages
- 427-433
- OpenAlex
- W2136961259
- Cited by
- 210
- References
- 2
- FWCI
- 10.87
- Type
- conference paper
- Language
- en
- Open access
- green
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- Staiano, J., & Guerini, M. (2014). Depeche Mood: a Lexicon for Emotion Analysis from Crowd Annotated News. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). https://doi.org/10.3115/v1/p14-2070
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