May 29, 2024 · We assess the efficacy of our sentence-level methodology using Twitter data from US politicians, comparing it to the traditional word-level embedding model.
May 30, 2024 · We assess the efficacy of our sentence-level methodology using Twitter data from US politicians, comparing it to the traditional word-level ...
In addition, we adopt Twitter data from Spanish politicians and visualize their positions in a multi-language space to analyze position similarities across ...
We assess the efficacy of our sentence-level methodology using Twitter data from US politicians, comparing it to the traditional word-level embedding model. We ...
Title. Analyzing political party positions through multi-language twitter text embeddings. Authors. Jinghui Chen; Takayuki Mizuno; Shohei Doi. Publication ...
Jinghui Chen, Takayuki Mizuno, Shohei Doi: Analyzing political party positions through multi-language twitter text embeddings. Frontiers Big Data 7 (2024).
Jun 1, 2024 · New Research: Analyzing political party positions through multi-language twitter text embeddings https://frontiersin.org/articles/10.3389 ...
We assess the efficacy of our sentence-level methodology using Twitter data from US politicians, comparing it to the traditional word-level embedding model. We ...
Frontiers · Analyzing political party positions through multi-language twitter text embeddings.
Analyzing political party positions through multi-language twitter text embeddings. Published in. Frontiers in Big Data, May 2024. DOI, 10.3389/fdata ...