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A Natural Language Processing Model for Automated Organization and Analysis of Intangible Cultural Heritage
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- Zheng, Yan (author)
- Xiangtan Univ, Peoples R China
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- Li, Fuqing (author)
- Xiangtan Univ, Peoples R China
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- Li, Cui (author)
- Xiangtan Univ, Peoples R China
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- (creator_code:org_t)
- IGI GLOBAL, 2024
- 2024
- English.
- In: Journal of Organizational and End User Computing. - : IGI GLOBAL. - 1546-2234 .- 1546-5012. ; 36:1
- Journal article (peer-reviewed)
Abstract
Subject headings
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- This paper investigates text similarity methods in the field of NLP, improves upon the WMD, and develops the SWC-WMD distance, forming the basis for a clustering method for long ICH texts. Clustering experiments on the constructed ICH long text dataset using WMD, SWC-WMD, and TFIDF-WMD distances were conducted. The impact of the number of feature words on clustering results and the effect of different distances on clustering outcomes were assessed based on accuracy and F1 values from the evaluation criteria. The final results show that the SWC-WMD distance improves the accuracy and F1 values of the ICH long text clustering results compared to the other two distances, thereby proving the effectiveness of the methods proposed in this paper.
Subject headings
- SAMHÄLLSVETENSKAP -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)
- SOCIAL SCIENCES -- Media and Communications -- Information Systems, Social aspects (hsv//eng)
Keyword
- Intangible Cultural Heritage; Natural Language Processing; Text Clustering; Word Mover's Distance; Word2vec
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
- Zheng, Yan
- Li, Fuqing
- Li, Cui
- Zhang, Zheyuan
- Cao, Rui
- Sohail, Noman
- About the subject
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- SOCIAL SCIENCES
- SOCIAL SCIENCES
- and Media and Commun ...
- and Information Syst ...
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- Journal of Organ ...
- By the university
- Linköping University
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