Cited by 431Sentiment Analysis and Opinion MiningText and Document Classification TechnologiesHate Speech and Cyberbullying Detection

Tweet sentiment analysis with classifier ensembles

da Silva, Nádia F.F., Hruschka, Eduardo R., Hruschka, Estevam R.·2014·Decision Support Systems

Integrity signals

Registry

Crossref · 10.1016/j.dss.2014.07.003

Cites

85 of 85 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

3 of the 88 references couldn’t be matched to a known paper.

Cited by

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Authors
da Silva, N. F. F., Hruschka, E. R., & Hruschka, E. R.
Affiliations
Universidade de São Paulo (BR)
Venue
Decision Support Systems
Publisher
Elsevier BV
Published
2014-10
Volume
66
Pages
170-179
ISSN
0167-9236 (ISSN-L)
OpenAlex
W2003303386
Cited by
431
References
88
Citations by year
2026: 4 · 2025: 8 · 2024: 14 · 2023: 37 · 2022: 50 · 2021: 52 · 2020: 69 · 2019: 47 · 2018: 60 · 2017: 41 · 2016: 38 · 2015: 11
FWCI
29.90
Type
journal article
Language
en
Open access
closed
Locations
Decision Support Systems (publishedVersion)
Funders
  • Research Agencies CAPES (DS-7253238/D)
  • FAPESP (2013/07787-6 and 2013/07375-0)
  • CNPq (303348/2013-5)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
  • Physical Sciences › Computer Science › Artificial Intelligence › Text and Document Classification Technologies
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
Keywords
Twitter sentiment analysis, ensemble classifiers, lexicon-based sentiment classification, microblogging, Twitter, polarity classification, product search

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.

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