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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Bibliographic Details

Published in:	Applied mathematics and nonlinear sciences Vol. 9; no. 1
Main Author:	Li, Yanggui
Format:	Journal Article
Language:	English
Published:	Beirut Sciendo 01.01.2024 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Subjects:	68T05 Bayesian algorithm Legal regulation Text features TF-IDF algorithm
ISSN:	2444-8656, 2444-8656
Online Access:	Get full text
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