Online Brand Community User Segments: A Text Mining Approach.

Ge R, Zhao H, Zhang S

DOI: 10.3389/frai.2022.900775
Published: 2022
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2022.900775,
  title = {Online Brand Community User Segments: A Text Mining Approach.},
  author = {Ge R and Zhao H and Zhang S},
  year = {2022},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2022.900775},
  url = {https://doi.org/10.3389/frai.2022.900775}
}

RIS

TY  - JOUR
TI  - Online Brand Community User Segments: A Text Mining Approach.
AU  - Ge R
AU  - Zhao H
AU  - Zhang S
PY  - 2022
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2022.900775
UR  - https://doi.org/10.3389/frai.2022.900775
ER  -

APA

R, G., H, Z., & S, Z. (2022). Online Brand Community User Segments: A Text Mining Approach.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2022.900775

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pubmed · retrieved 2026-11-10T10:55:15.281Z