Analyzing political party positions through multi-language twitter text embeddings.

Chen J, Mizuno T, Doi S

DOI: 10.3389/fdata.2024.1330392
Published: 2024
Container: Frontiers in big data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2024.1330392,
  title = {Analyzing political party positions through multi-language twitter text embeddings.},
  author = {Chen J and Mizuno T and Doi S},
  year = {2024},
  journal = {Frontiers in big data},
  doi = {10.3389/fdata.2024.1330392},
  url = {https://doi.org/10.3389/fdata.2024.1330392}
}

RIS

TY  - JOUR
TI  - Analyzing political party positions through multi-language twitter text embeddings.
AU  - Chen J
AU  - Mizuno T
AU  - Doi S
PY  - 2024
JO  - Frontiers in big data
DO  - 10.3389/fdata.2024.1330392
UR  - https://doi.org/10.3389/fdata.2024.1330392
ER  -

APA

J, C., T, M., & S, D. (2024). Analyzing political party positions through multi-language twitter text embeddings.. Frontiers in big data. https://doi.org/10.3389/fdata.2024.1330392

Source records

pubmed · retrieved 2026-09-24T21:47:36.818Z