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大数据时代的文学研究难以规避计算的钳制,定量分析因而成为文学研究的重要方法之一。论文认为,弗兰科·莫莱蒂的文学定量分析法为文学研究提供了一个典型例证。他由定量分析从自然科学向社会科学的历史演变中确认其向人文学科转换的可能性。波普尔的客观知识猜想为莫莱蒂提供了理论基础,大型数据库建设、跨库检索、智能分析的发展为其提供了技术保证。在分析了英国7 000部小说的标题后,莫莱蒂揭示了小说标题变化所隐含的文学意义,验证了定量分析对小说文体研究的有效性;在利用网络理论对戏剧情节分析后,莫莱蒂证实了定量分析研究文学内容的可行性。在电子科技高速发展的今天,莫莱蒂的定量分析通过对形式和内容的双重研究,确立了利用大数据研究文学的合法性,但莫莱蒂的定量分析提供的文学研究结论不仅是一种缺乏个性的普遍结果,而且缺乏人文学科该有的价值判断,引发诸多争议,这又凸显了文学定量分析的复杂性。
Literature in the era of big data is difficult to circumvent the calculation of the clamp, a quantitative analysis and thus become one of the important methods of literature. The thesis holds that Franco Moretti’s literary quantitative analysis provides a typical example for literary studies. He quantitatively analyzed the historical evolution from the natural sciences to the social sciences to confirm his conversion to the humanities. Popper’s objective knowledge conjecture provides the theoretical basis for Moretti, and provides technical assurance for the development of large-scale databases, cross-database retrieval and intelligent analysis. After analyzing the titles of 7,000 British novels, Morelati reveals the literary significance implied by the change of title of the novel and verifies the validity of quantitative analysis on the study of novel style. After analyzing the dramatic plot by using network theory, Laidi confirmed the feasibility of quantitative analysis of the literature. In the rapid development of electronic science and technology, Morletti’s quantitative analysis establishes the legitimacy of using big data to study the literature through a double study of form and content, but the quantitative research provided by Moretti’s conclusion is not only a The lack of generalized results of personality, and the lack of value judgments in the humanities, have triggered many controversies, which highlights the complexity of quantitative analysis of literature.