The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Recognizing emotions in text using ensemble of classifiers
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Citations
Cites
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334
Ensemble methods in machine learning
Dietterich, T. G. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-45014-9_1 · Cited by 8,408
Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382
Ekman, P. (1999) · Handbook of Cognition and Emotion · doi:10.1002/0470013494.ch3 · Cited by 2,125
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
Calvo, R. A., & D'Mello, S. (2010) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2010.1 · Cited by 1,893
Sentiment strength detection for the social web
Thelwall, M., Buckley, K., & Paltoglou, G. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21662 · Cited by 1,062
Evidence for universality and cultural variation of differential emotion response patterning.
Scherer, K. R., & Wallbott, H. G. (1994) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.66.2.310 · Cited by 959
Tweet sentiment analysis with classifier ensembles
da Silva, N. F. F., Hruschka, E. R., & Hruschka, E. R. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.07.003 · Cited by 431
Cited by
A comprehensive review on ensemble deep learning: Opportunities and challenges
Mohammed, A., & Kora, R. (2023) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2023.01.014 · Cited by 1,127
Text‐based emotion detection: Advances, challenges, and opportunities
Acheampong, F. A., Wenyu, C., & Nunoo‐Mensah, H. (2020) · Engineering Reports · doi:10.1002/eng2.12189 · Cited by 367
A recent overview of the state-of-the-art elements of text classification
Mirończuk, M. M., & Protasiewicz, J. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.03.058 · Cited by 317
Multimodal Emotion Recognition With Temporal and Semantic Consistency
Chen, B., Cao, Q., Hou, M., Zhang, Z., Lu, G., & Zhang, D. (2021) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2021.3129331 · Cited by 71
Metadata
- Authors
- Perikos, I., & Hatzilygeroudis, I.
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 51
- Pages
- 191-201
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W2270941958
- Cited by
- 183
- References
- 8
- FWCI
- 17.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Perikos, I., & Hatzilygeroudis, I. (2016). Recognizing emotions in text using ensemble of classifiers. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2016.01.012
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
