Evaluating mobile app performance through sentiment analysis with SimCLR and MobileBERT.

Zhang R, Ullah A, Khan KU, Khan MN, Chohan RT, Aadil F

Open source

DOI
10.1371/journal.pone.0349555
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.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0349555,
  title = {Evaluating mobile app performance through sentiment analysis with SimCLR and MobileBERT.},
  author = {Zhang R and Ullah A and Khan KU and Khan MN and Chohan RT and Aadil F},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0349555},
  url = {https://doi.org/10.1371/journal.pone.0349555}
}

RIS

TY  - JOUR
TI  - Evaluating mobile app performance through sentiment analysis with SimCLR and MobileBERT.
AU  - Zhang R
AU  - Ullah A
AU  - Khan KU
AU  - Khan MN
AU  - Chohan RT
AU  - Aadil F
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0349555
UR  - https://doi.org/10.1371/journal.pone.0349555
ER  - 

APA

R, Z., A, U., KU, K., MN, K., RT, C., & F, A. (2026). Evaluating mobile app performance through sentiment analysis with SimCLR and MobileBERT.. PloS one. https://doi.org/10.1371/journal.pone.0349555

Source records