Retraction: Sentiment analysis of classical Chinese literature: An unsupervised deep learning model with BERT and graph attention networks.
- DOI
- 10.1371/journal.pone.0357748
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
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- 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.
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- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0357748,
title = {Retraction: Sentiment analysis of classical Chinese literature: An unsupervised deep learning model with BERT and graph attention networks.},
author = {PLOS One Editors},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0357748},
url = {https://doi.org/10.1371/journal.pone.0357748}
}RIS
TY - JOUR TI - Retraction: Sentiment analysis of classical Chinese literature: An unsupervised deep learning model with BERT and graph attention networks. AU - PLOS One Editors PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0357748 UR - https://doi.org/10.1371/journal.pone.0357748 ER -
APA
Editors, P. O. (2026). Retraction: Sentiment analysis of classical Chinese literature: An unsupervised deep learning model with BERT and graph attention networks.. PloS one. https://doi.org/10.1371/journal.pone.0357748
Source records
- pubmed · retrieved 2026-09-25T04:14:08.790Z