Unsupervised Semantic Approach of Aspect-Based Sentiment Analysis for Large-Scale User Reviews
- DOI
- 10.1109/access.2020.3042312
- Published
- 2020
- Container
- IEEE Access
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 4 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1109/access.2020.3042312,
title = {Unsupervised Semantic Approach of Aspect-Based Sentiment Analysis for Large-Scale User Reviews},
author = {Sumaia Mohammed Al-Ghuribi and Shahrul Azman Mohd Noah and Sabrina Tiun},
year = {2020},
journal = {IEEE Access},
doi = {10.1109/access.2020.3042312},
url = {https://doi.org/10.1109/access.2020.3042312}
}RIS
TY - JOUR TI - Unsupervised Semantic Approach of Aspect-Based Sentiment Analysis for Large-Scale User Reviews AU - Sumaia Mohammed Al-Ghuribi AU - Shahrul Azman Mohd Noah AU - Sabrina Tiun PY - 2020 JO - IEEE Access DO - 10.1109/access.2020.3042312 UR - https://doi.org/10.1109/access.2020.3042312 ER -
APA
Al-Ghuribi, S. M., Noah, S. A. M., & Tiun, S. (2020). Unsupervised Semantic Approach of Aspect-Based Sentiment Analysis for Large-Scale User Reviews. IEEE Access. https://doi.org/10.1109/access.2020.3042312
Source records
- doaj · retrieved 2026-09-24T21:03:05.911Z