A selective approach to stemming for minimizing the risk of failure in information retrieval systems

Gökhan Göksel, Ahmet Arslan, Bekir Taner Dinçer

Open source

DOI
10.7717/peerj-cs.1175
Published
2023-01-10
Container
PeerJ Computer Science
Publisher
PeerJ
Open access
unknown

Credibility signals

uncertain Score 64/100 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:10.7717/peerj-cs.1175,
  title = {A selective approach to stemming for minimizing the risk of failure in information retrieval systems},
  author = {Gökhan Göksel and Ahmet Arslan and Bekir Taner Dinçer},
  year = {2023},
  journal = {PeerJ Computer Science},
  doi = {10.7717/peerj-cs.1175},
  url = {https://doi.org/10.7717/peerj-cs.1175}
}

RIS

TY  - JOUR
TI  - A selective approach to stemming for minimizing the risk of failure in information retrieval systems
AU  - Gökhan Göksel
AU  - Ahmet Arslan
AU  - Bekir Taner Dinçer
PY  - 2023
JO  - PeerJ Computer Science
DO  - 10.7717/peerj-cs.1175
UR  - https://doi.org/10.7717/peerj-cs.1175
ER  - 

APA

Göksel, G., Arslan, A., & Dinçer, B. T. (2023). A selective approach to stemming for minimizing the risk of failure in information retrieval systems. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.1175

Source records