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Sentic patterns: Dependency-based rules for concept-level sentiment analysis
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Citations
Cited by
A review of affective computing: From unimodal analysis to multimodal fusion
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.003 · Cited by 1,644
Self-citationFusing audio, visual and textual clues for sentiment analysis from multimodal content
Poria, S., Cambria, E., Howard, N., Huang, G.-B., & Hussain, A. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.01.095 · Cited by 534
Self-citationTowards an intelligent framework for multimodal affective data analysis
Poria, S., Cambria, E., Hussain, A., & Huang, G.-B. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.10.005 · Cited by 236
Self-citationFuzzy logic applied to opinion mining: A review
Serrano-Guerrero, J., Romero, F. P., & Olivas, J. A. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107018 · Cited by 141
Systematic literature review on context-based sentiment analysis in social multimedia
Kumar, A., & Garg, G. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7346-5 · Cited by 86
Generative AI in Marketing: Foundations, Trends, and Future Research Propositions
Prasanna, A., & Kushwaha, B. P. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/5542513 · Cited by 10
Metadata
- Authors
- Poria, S., Cambria, E., Winterstein, G., & Huang, G.-B.
- Venue
- Knowledge-Based Systems
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 69
- Pages
- 45-63
- ISSN
- 0950-7051 (ISSN-L)
- OpenAlex
- W2170436435
- Cited by
- 345
- References
- 0
- FWCI
- 47.86
- 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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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.