期刊文献+

中国古装影视剧服装领域研究热点及行业趋势分析

Analysis of research hotspots and industry trends in the field of costumes forChinese ancient film and television dramas
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摘要 随着中国文化国际影响力的增强和数字技术的进一步发展,中国古装影视剧服装迎来了新的发展机遇与挑战。为了把握中国古装影视剧服装的发展态势,并为相关研究人员与行业提供客观的发展参考依据,本文利用CONCOR分析与LDA主题建模,从研究热点和行业发展趋势两个层面进行了探究。分析得出,设计理念与美学追求、传统服饰文化的传播与弘扬、古装影视剧服装设计发展要求、对角色的塑造及表现作用等研究热点,以及数字化新发展、跨行业联动的产业转型新趋势、文化传播与品牌打造新机遇、注重传统与创新的设计新要求等行业趋势。 Chinese culture continues to influence the world.As one of the important carriers of cultural communication,film and television dramas carry rich historical and cultural information.With historical culture,exquisite costume design,and gripping drama stories,ancient costume film and television dramas have deeply attracted the audience and aroused strong resonance.Meanwhile,the rapid development of technologies such as artificial intelligence has continuously impacted the design and cultural fields,and has put forward higher requirements for the development and research of related industries.How to adapt to the development trend of the times,strengthen the dissemination of traditional culture,and achieve industrial transformation is a difficult problem that the Chinese ancient costume film and television drama clothing industry has to face at this stage.This paper selects big data analysis methods,uses CONCOR analysis and LDA topic modeling,and conducts research from two levels:research hotspots and industry development trends.In order to use objective experimental results from the two levels of research and industry,the paper analyzes the hot topics related to Chinese ancient costume film and television drama clothing,further revealing the future development trend of Chinese ancient costume film and television drama clothing industry,and providing objective literature reference for enterprises and related researchers.Research hotspot data were collected by using CNKI database as the data source of literature,“film and television costumes”were selected as the search keyword to collect nine research documents in the field of Chinese ancient costume film and television costumes in the past five years,and the research content was examined.Social opinion hotspot research data were collected by using TEXTOM-v5.5 program,and with“Chinese ancient costume film and television costumes”as the keyword,relevant websites,posts,public accounts,news and other data released by Chinese social media platforms were collected in the past three years from May 24,2021 to May 23,2024.Research results show that in the past five years,related research has mainly focused on four aspects:design concepts and aesthetic pursuits,the dissemination and promotion of traditional clothing culture,the development requirements of costume design for ancient costume film and television dramas,and the shaping and performance of roles.In terms of industry development trends,with the further advancement of the national cultural communication strategy,the future Chinese ancient costume film and television costume industry will usher in new trends such as digital development,new trends in cross-industry linkage industrial transformation,new opportunities for cultural communication and brand building,and new design requirements that focus on tradition and innovation.This study hopes to provide useful empirical data for related research and industries in the field of costumes for Chinese ancient film and television dramas.However,in the process of collating and confirming a large amount of data,it takes considerable time and effort,so there are limitations in improving research efficiency.
作者 冯旭珉 王鑫 FENG Xumin;WANG Xin(College of Public Opinion and Image Communication,Dongmyeong University,Busan 48520,South Korea;National Innovation Center of Advanced Dyeing&Finishing Technology,Tai’an 271039,China)
出处 《丝绸》 CAS CSCD 北大核心 2024年第10期107-114,共8页 Journal of Silk
基金 福建省社会科学基金项目(FJ2024B165,FJ2024B170)。
关键词 古装影视剧服装 大数据分析 LDA建模 CONCOR分析 热点研究 趋势分析 主题挖掘 costumes for ancient film and television dramas big data analysis LDA modeling CONCOR analysis hotspot research trend analysis topic mining
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