A Cross-Product Analysis of Earphone Reviews Using Contextual Topic Modeling and Association Rule Mining

Ugbold Maidar, Minyoung Ra, Donghee Yoo

Open source

DOI
10.3390/jtaer19040170
Published
12
Container
Journal of Theoretical and Applied Electronic Commerce Research
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 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:10.3390/jtaer19040170,
  title = {A Cross-Product Analysis of Earphone Reviews Using Contextual Topic Modeling and Association Rule Mining},
  author = {Ugbold Maidar and Minyoung Ra and Donghee Yoo},
  year = {2024},
  journal = {Journal of Theoretical and Applied Electronic Commerce Research},
  doi = {10.3390/jtaer19040170},
  url = {https://doi.org/10.3390/jtaer19040170}
}

RIS

TY  - JOUR
TI  - A Cross-Product Analysis of Earphone Reviews Using Contextual Topic Modeling and Association Rule Mining
AU  - Ugbold Maidar
AU  - Minyoung Ra
AU  - Donghee Yoo
PY  - 2024
JO  - Journal of Theoretical and Applied Electronic Commerce Research
DO  - 10.3390/jtaer19040170
UR  - https://doi.org/10.3390/jtaer19040170
ER  - 

APA

Maidar, U., Ra, M., & Yoo, D. (2024). A Cross-Product Analysis of Earphone Reviews Using Contextual Topic Modeling and Association Rule Mining. Journal of Theoretical and Applied Electronic Commerce Research. https://doi.org/10.3390/jtaer19040170

Source records