Effect of demographic structure on resource utilisation using term frequency–inverse document frequency algorithm – evidence from China

Liu, Yulin; Li, Zhihui; Yin, Xingmin; Lyu, Leifei

doi:10.1049/joe.2018.8331

Cited by 2 publications

(2 citation statements)

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“…This method can better preserve the information of the original keywords, maximize the features from degradation during the mapping process, and preserve a large amount of information on the original text features. The TF-IDF technique is used to weigh the word vectors to strengthen the influence of keywords in legal documents, effectively use the word vectors to represent each document and weigh the average of the word vector of each word with its word frequency weight value to obtain the document vector and index list of each document [19][20].…”

Section:   Log 1 Maxmentioning

confidence: 99%

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

2023

Applied Mathematics and Nonlinear Sciences

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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 combined with a Bayesian algorithm for label classification to facilitate data query and indexing. The results show that the running time of the system is kept around 14s, the recall and accuracy can be close to about 75% and 72% on average, and the number of keywords can reach 5971 with an F1 value of 0.9, which proves the effectiveness of the artificial intelligence legal regulation system based on big data analysis.

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Section:   Log 1 Maxmentioning

confidence: 99%

“…In Equation (19), denotes an existing condition of the text, and it is only necessary to find out the probability that the degree of feature variation in the feature text space belongs to or belongs to , and then intelligent keyword extraction can be performed.…”

Section: Letmentioning

confidence: 99%