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Emotion lexica are commonly used resources to combat data poverty in automatic emotion detection.
Huggingface’s transformers: State-of-the-art natural language processing
Wolf, T., Debut, L., Sanh, V., Chaumond, J., Delangue, C., Moi, A., Cistac, P., Rault, T., Louf, R., Funtowicz, M., & Brew, J. (2019) · 1910
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The Face of Emotion
Izard, C. E. (1971) · 1971
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An Approach to Environmental Psychology
Mehrabian, A., & Russell, J. A. (1974) · 1974
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A general psychoevolutionary theory of emotion
Plutchik, R. (1980) · 1980
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A circumplex model of affect
Russell, J. A. (1980) · 1980
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Cognitive determinants of emotion: A structural theory
Roseman, I. J. (1984) · 1984
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An argument for basic emotions
Ekman, P. (1992) · 1992
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Evidence for universality and cultural variation of differential emotion response patterning
Scherer, K. R., & Wallbott, H. G. (1994) · 1994
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Wordnet: a lexical database for english
Miller, G. A. (1995) · 1995
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Affective norms for English words (ANEW): Instruction manual and affective ratings
Bradley, M. M., & Lang, P. J. (1999) · 1999
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Learning from labeled and unlabeled data with label propagation,
Zhu, X., & Ghahramani, Z. (2002) · 1999
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Wordnet-affect: an affective extension of wordnet
Strapparava, C., & Valitutti, A. (2004) · 2004
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Emotions from text: Machine learning for text-based emotion prediction
Alm, C. O., Roth, D., & Sproat, R. (2005) · 2005
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Sentiwordnet: A publicly available lexical resource for opinion mining
Esuli, A., & Sebastiani, F. (2006) · 2006
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Identifying expressions of emotion in text
Aman, S., & Szpakowicz, S. (2007) · 2007
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UPAR7: A knowledge-based system for headline sentiment tagging
Chaumartin, F.-R. (2007) · 2007
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The world of emotions is not two-dimensional
Fontaine, J. R., Scherer, K. R., Roesch, E. B., & Ellsworth, P. C. (2007) · 2007
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Characterization of the affective norms for english words by discrete emotional categories
Stevenson, R. A., Mikels, J. A., & James, T. W. (2007) · 2007
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SemEval-2007 task 14: Affective text
Strapparava, C., & Mihalcea, R. (2007) · 2007
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Learning to identify emotions in text
Strapparava, C., & Mihalcea, R. (2008) · 2008
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Sentiment classification of reviews using sentiwordnet
Ohana, B., & Tierney, B. (2009) · 2009
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The manually annotated sub-corpus: A community resource for and by the people
Ide, N., Baker, C., Fellbaum, C., & Passonneau, R. (2010) · 2010
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Using a heterogeneous dataset for emotion analysis in text
Chaffar, S., & Inkpen, D. (2011) · 2011
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Emotion classification of news headlines using svm
Kirange, D., & Deshmukh, R. (2012) · 2012
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#emotional tweets
Mohammad, S. (2012a) · 2012
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Portable features for classifying emotional text
Mohammad, S. (2012b) · 2012
Cited alongside, same era.
Crowdsourcing a word-emotion association lexicon
Mohammad, S. M., & Turney, P. D. (2013) · 2013
Cited alongside, same era.
Annotation, modelling and analysis of fine-grained emotions on a stance and sentiment detection corpus
Schuff, H., Barnes, J., Mohme, J., Padó, S., & Klinger, R. (2017) · 2017
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Neural networks and deep learning
Aggarwal, C. C. et al. (2018) · 2018
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Learning emotion-enriched word representations
Agrawal, A., An, A., & Papagelis, M. (2018) · 2018
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NTUA-SLP at SemEval-2018 task 1: Predicting affective content in tweets with deep attentive RNNs and transfer learning
Baziotis, C., Nikolaos, A., Chronopoulou, A., Kolovou, A., Paraskevopoulos, G., Ellinas, N., Narayanan, S., & Potamianos, A. (2018) · 2018
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An analysis of annotated corpora for emotion classification in text
Bostan, L. A. M., & Klinger, R. (2018) · 2018
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Norms of valence, arousal, and dominance for 13,915 english lemmas
Warriner, A. B., Kuperman, V., & Brysbaert, M. (2013) · 2013
Cited alongside, same era.
Meta-level sentiment models for big social data analysis
Bravo-Marquez, F., Mendoza, M., & Poblete, B. (2014) · 2014
Cited alongside, same era.
SentiMerge: Combining sentiment lexicons in a Bayesian framework
Emerson, G., & Declerck, T. (2014) · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Pennington, J., Socher, R., & Manning, C. D. (2014) · 2014
Cited alongside, same era.
Detecting emotion stimuli in emotion-bearing sentences
Ghazi, D., Inkpen, D., & Szpakowicz, S. (2015) · 2015
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Sentiment, emotion, purpose, and style in electoral tweets
Mohammad, S., Zhu, X., Kiritchenko, S., & Martin, J. (2015) · 2015
Cited alongside, same era.
Buechel, S., & Hahn, U. (2018) · 2018
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Buechel, S., Sedoc, J., Schwartz, H. A., & Ungar, L. (2018) · 2018
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Semi-supervised emotion lexicon expansion with label propagation
Giulianelli, M., & de Kok, D. (2018) · 2018
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A generative model for category text generation
Li, Y., Pan, Q., Wang, S., Yang, T., & Cambria, E. (2018) · 2018
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Targeted aspect-based sentiment analysis via embedding commonsense knowledge into an attentive lstm
Ma, Y., Peng, H., & Cambria, E. (2018) · 2018
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TCS research at SemEval-2018 task 1: Learning robust representations using multi-attention architecture
Meisheri, H., & Dey, L. (2018) · 2018
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SemEval-2018 task 1: Affect in tweets
Mohammad, S., Bravo-Marquez, F., Salameh, M., & Kiritchenko, S. (2018) · 2018
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Word affect intensities
Mohammad, S. M. (2018b) · 2018
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Deep learning-based categorical and dimensional emotion recognition for written and spoken text
Atmaja, B. T. (2019) · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · 2019
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Combining Sentiment Lexica with a Multi-View Variational Autoencoder
Hoyle, A. M., Wolf-Sonkin, L., Wallach, H., Cotterell, R., & Augenstein, I. (2019) · 2019
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A deep learning-based approach for multi-label emotion classification in tweets
Jabreel, M., & Moreno, A. (2019) · 2019
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Supervised lexicon extraction for emotion classification
Purpura, A., Masiero, C., Silvello, G., & Antonio Susto, G. (2019) · 2019
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Semi-supervised dimensional sentiment analysis with variational autoencoder
Wu, C., Wu, F., Wu, S., Yuan, Z., Liu, J., & Huang, Y. (2019) · 2019
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Learning and evaluating emotion lexicons for 91 languages
Buechel, S., Rücker, S., & Hahn, U. (2020) · 2020
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