从文本挖掘到视觉分类

C. Olesen, I. Kisjes
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引用次数: 0

摘要

本文以电影院所有者和电影发行商Jean Desmet的数字化商业档案为例,讨论了计算方法如何促进荷兰国家研究基础设施(CLARIAH - media Suite)的研究人员对档案的解锁。为此,本文从历史的角度考虑了以往新电影史研究中对电影相关资源的计算方法,提出了一种结合文本挖掘和视觉分类的新方法。本文认为,这样的结合对于产生反映档案材料异质性和复杂性的结果是必要的,并且它为新电影史的计算方法及其将电影相关材料作为历史来源的概念化提供了新的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Text Mining to Visual Classification
Focusing on the specific case of cinema owner and film distributor Jean Desmet’s digitised business archive, this article discusses how computational approaches may facilitate the archive’s unlocking for researchers in the Dutch national research infrastructure – CLARIAH –Media Suite. To this end, the article considers previous computational approaches to film- related sources in New Cinema History research in a historical perspective, suggesting a novel approach which combines text mining and visual classification. The article argues that such a combination is necessary to yield results which reflect the archive’s material heterogeneity and complexity, and that it offers a new direction for computational approaches in New Cinema History and their conceptualisations of film-related materials as historical sources.
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