Analyzing political party positions through multi-language twitter text embeddings

Jinghui Chen, Takayuki Mizuno, Shohei Doi

Open source

DOI: 10.3389/fdata.2024.1330392
Published: 2024-05-30
Container: Frontiers in Big Data
Publisher: Frontiers Media SA
Open access: unknown

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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 = {Jinghui Chen and Takayuki Mizuno and Shohei Doi},
  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  - Jinghui Chen
AU  - Takayuki Mizuno
AU  - Shohei Doi
PY  - 2024
JO  - Frontiers in Big Data
DO  - 10.3389/fdata.2024.1330392
UR  - https://doi.org/10.3389/fdata.2024.1330392
ER  -

APA

Chen, J., Mizuno, T., & Doi, S. (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

crossref · retrieved 2026-11-10T19:56:06.939Z