The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Automatic emotion detection in text streams by analyzing Twitter data
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Citations
Cites
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334 · cited 3×
“The most widely used dimensional model is the Circumplex model of affect proposed by Russell [16].”
BackgroundMethodInfluentialEkman, P. (1999) · Handbook of Cognition and Emotion · doi:10.1002/0470013494.ch3 · Cited by 2,125
Transforming classifier scores into accurate multiclass probability estimates
Zadrozny, B., & Elkan, C. (2002) · Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/775047.775151 · Cited by 1,280
A Survey of Predictive Modeling on Imbalanced Domains
Branco, P., Torgo, L., & Ribeiro, R. P. (2017) · ACM Computing Surveys · doi:10.1145/2907070 · Cited by 1,129
Cited by
A review on sentiment analysis and emotion detection from text
Nandwani, P., & Verma, R. (2021) · Social Network Analysis and Mining · doi:10.1007/s13278-021-00776-6 · Cited by 869
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
Emotionally based strategic communications as a new tool in defensive cognitive warfare
Ćosić, K., Popović, S., & Wiederhold, B. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1751406 · Cited by 4
Metadata
- Authors
- Hasan, M., Rundensteiner, E., & Agu, E.
- Venue
- International Journal of Data Science and Analytics
- Published
- 2018-02-09
- Volume
- 7
- Issue
- 1
- Pages
- 35-51
- ISSN
- 2364-415X (ISSN-L)
- 2364-4168
- OpenAlex
- W2786205708
- Cited by
- 169
- References
- 4
- FWCI
- 7.78
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Automatic emotion detection in text streams by analyzing Twitter data. https://app.cochat.ai/papers/10.1007/s41060-018-0096-z
- The paper
- Hasan, M., Rundensteiner, E., & Agu, E. (2019). Automatic emotion detection in text streams by analyzing Twitter data. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-018-0096-z
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.
