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pro vyhledávání: '"POLITICAL SCIENCE / Intelligence '
The recent wave of artificial intelligence, epitomized by large language models (LLMs), has presented opportunities and challenges for methodological innovation in political science, sparking discussions on a potential paradigm shift in the social sc
Externí odkaz:
http://arxiv.org/abs/2410.16301
Autor:
Liu, Menglin, Shi, Ge
Recent advancements in large language models (LLMs) have opened new avenues for enhancing text classification efficiency in political science, surpassing traditional machine learning methods that often require extensive feature engineering, human lab
Externí odkaz:
http://arxiv.org/abs/2409.01466
Political scientists often grapple with data scarcity in text classification. Recently, fine-tuned BERT models and their variants have gained traction as effective solutions to address this issue. In this study, we investigate the potential of GPT-ba
Externí odkaz:
http://arxiv.org/abs/2411.05050
Akademický článek
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Citizen conceptions of democracy and support for artificial intelligence in government and politics.
Autor:
KÖNIG, PASCAL D.1,2 (AUTHOR) pascal.koenig@sowi.uni-kl.de
Publikováno v:
European Journal of Political Research. Nov2023, Vol. 62 Issue 4, p1280-1300. 21p.
Autor:
Wang, Yu
Fuzzy string matching remains a key issue when political scientists combine data from different sources. Existing matching methods invariably rely on string distances, such as Levenshtein distance and cosine similarity. As such, they are inherently i
Externí odkaz:
http://arxiv.org/abs/2403.18218
Publikováno v:
RUDN Journal of Political Science, Vol 26, Iss 2, Pp 406-424 (2024)
In the context of global technological transformations and active penetration of artificial intelligence technologies and neural network algorithms into the digital space of socio-political communications, a new format of socio-political interactions
Externí odkaz:
https://doaj.org/article/07e4c55318f64ceeae63bfabd55fb41b
Autor:
Wang, Yu
Interest is increasing among political scientists in leveraging the extensive information available in images. However, the challenge of interpreting these images lies in the need for specialized knowledge in computer vision and access to specialized
Externí odkaz:
http://arxiv.org/abs/2403.00154
Autor:
Albert, Craig Douglas1 calbert@augusta.edu
Publikováno v:
Politics & the Life Sciences. Apr2023, Vol. 42 Issue 1, p158-162. 5p.