Application of LDA and word2vec to detect English off-topic composition.

Qi Y, He J

DOI: 10.1371/journal.pone.0264552
Published: 2022
Container: PloS one
Publisher: Not recorded
Open access: yes

Credibility signals

serious concern Score 10/100 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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
serious concernRetraction Watch retraction: 1 retraction notice matched this DOI. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0264552,
  title = {Application of LDA and word2vec to detect English off-topic composition.},
  author = {Qi Y and He J},
  year = {2022},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0264552},
  url = {https://doi.org/10.1371/journal.pone.0264552}
}

RIS

TY  - JOUR
TI  - Application of LDA and word2vec to detect English off-topic composition.
AU  - Qi Y
AU  - He J
PY  - 2022
JO  - PloS one
DO  - 10.1371/journal.pone.0264552
UR  - https://doi.org/10.1371/journal.pone.0264552
ER  -

APA

Y, Q., & J, H. (2022). Application of LDA and word2vec to detect English off-topic composition.. PloS one. https://doi.org/10.1371/journal.pone.0264552

Source records

pubmed · retrieved 2026-09-25T00:18:39.081Z