A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model.
- DOI
- 10.1155/2022/7893775
- Published
- 2022-03-03
- Container
- Comput Intell Neurosci
- 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.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- 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.
- serious concernRetraction Watch retraction: 1 retraction notice matched this DOI.
- 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: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1155/2022/7893775,
title = {A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model.},
author = {Zeberga K and Attique M and Shah B and Ali F and Jembre YZ and Chung TS.},
year = {2022},
journal = {Comput Intell Neurosci},
doi = {10.1155/2022/7893775},
url = {https://doi.org/10.1155/2022/7893775}
}RIS
TY - JOUR TI - A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model. AU - Zeberga K AU - Attique M AU - Shah B AU - Ali F AU - Jembre YZ AU - Chung TS. PY - 2022 JO - Comput Intell Neurosci DO - 10.1155/2022/7893775 UR - https://doi.org/10.1155/2022/7893775 ER -
APA
K, Z., M, A., B, S., F, A., YZ, J., & TS., C. (2022). A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model.. Comput Intell Neurosci. https://doi.org/10.1155/2022/7893775
Source records
- europe-pmc · retrieved 2026-09-25T04:17:42.134Z