The Hourglass of Emotions
By Erik Cambria, Andrew G. Livingstone, Amir Hussain. 2011
331 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Experimental and Cognitive Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Erik Cambria
- Frank Xing
- Roy E. Welsch
- Henry Nunoo-Mensah
- Francisca Adoma Acheampong
- Wenyu Chen
- Yangqiu Song
- Antonio Liotta
In Experimental and Cognitive Psychology
- Frank Xing
- Roy E. Welsch
- Henry Nunoo-Mensah
- Francisca Adoma Acheampong
- Wenyu Chen
- Dit-Yan Yeung
- Thomas Drugman
- Erik Cambria
Citations in the corpus
- BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (2024, background): “Cars displayed in these showrooms with ENERGY-EFFICIENT AND GREEN decals prominently featured across the windshield aren’t announcing environmentalism; they’re virtue signaling.”
- A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances (2022, background): “Ekman’s basic emotion model and its variants [56,57] are widely accepted by the emotion recognition”
- Multilingual and Multi-Aspect Hate Speech Analysis (2019, methodology): “After collecting the annotation results of the pilot dataset regarding how people feel about the tweets, and observing the added categories, we adopted a range of sentiments that are in the negative and neutral scales of the hourglass of emotions introduced by Cambria et al. (2011).”
- Transformer models for text-based emotion detection: a review of BERT-based approaches (2021, methodology): “The Hourglass of Emotions revisited model presented by Susanto et al. (2020) is an improvement over the original Hourglass of Enotions model proposed by Cambria et al. (2012).”
- A Practical Guide to Sentiment Analysis (2017, background): “Emotions play an important role in successful and effective human-human relationships.”
- Natural language based financial forecasting: a survey (2017, methodology): “For instance, SenticNet stores four-dimensional values of the hourglass model [17], which is derived from Plutchik’s wheel of emotions model.”
- A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories (2026, unknown): “However, other frameworks motivated by psychology and specifically developed for affective computing have been presented [7].”