Systematic literature review on context-based sentiment analysis in social multimedia
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Sentiment analysis has been shown to be an effective strategy for social web text analytics.
“This has been shown to be an effective strategy for social web text analytics [66] with large and variate applications [67,68].”
From Safety of creatine supplementation: analysis of the prevalence of reported side effects in clinical trials and adverse event reports (2025) · cites this paper as [66]
Cited by
Sorted by citations
Kreider, R. B., Gonzalez, D. E., Hines, K., Gil, A., & Bonilla, D. A. (2025) · Journal of the International Society of Sports Nutrition · doi:10.1080/15502783.2025.2488937 · Cited by 29 · see citing works
- Authors
- Kumar, A., & Garg, G.
- Affiliations
- Delhi Technological University (IN)
- Corresponding author
- Garg, Geetanjali
- Venue
- Multimedia Tools and Applications
- Published
- 2019-02-23
- Volume
- 79
- Issue
- 21-22
- Pages
- 15349-15380
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- OpenAlex
- W2916095201
- Cited by
- 86
- References
- 0
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 8 · 2023: 16 · 2022: 11 · 2021: 12 · 2020: 9 · 2019: 6 · 2017: 2
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Multimedia Tools and Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- sentiment analysis, social media, colloquial language, indirect language, context modeling, information overload
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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