Dilemmas and Breakthroughs in the Legal Regulation of Artificial Intelligence Based on Deep Learning Models

In this paper, we use big data analysis techniques combined with the TF-IDF algorithm to weigh the frequently occurring word frequency vectors in text and reduce the document length to obtain keywords without destroying the original text feature information. The similarity of text features is combin...

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Veröffentlicht in:	Applied mathematics and nonlinear sciences Jg. 9; H. 1
1. Verfasser:	Li, Yanggui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Beirut Sciendo 01.01.2024 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Schlagworte:	68T05 Bayesian algorithm Legal regulation Text features TF-IDF algorithm
ISSN:	2444-8656, 2444-8656
Online-Zugang:	Volltext
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