Dynamic evolution of sentiments in Never Let Me Go: Insights from multifractal theory and its implications for literary analysis.
The moods, feelings, and attitudes represented in a novel will resonate in the reader by activating similar sentiments. It is generally accepted that sentiment analysis can capture aspects of such moods, feelings, and attitudes and can be used to summarize a novel's plot in a story arc. With the ava...
| Publicado en: | Digital Scholarship in the Humanities Vol. 36; no. 2; pp. 322 - 333 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Jun2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=152743602&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 152743602 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Jun2021 vid: 36 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 152743602 10.1093/llc/fqz092 ppf: 322 ppct: 11 formats: fmt: @attributes: type: P size: 776KB tig: atl: Dynamic evolution of sentiments in Never Let Me Go: Insights from multifractal theory and its implications for literary analysis. aug: au: Hu, Qiyue Liu, Bin Thomsen, Mads Rosendahl Gao, Jianbo Nielbo, Kristoffer L affil: Center for Geodata and Analysis, Faculty of Geographical Science, Beijing Normal University , China Business School, Guangxi University , China School of Communication and Culture, Aarhus University , Denmark Center for Geodata and Analysis, Faculty of Geographical Science, Beijing Normal University, China; Institute of Automation, Chinese Academy of Sciences, China and International College, Guangxi University , China Center for Humanities Computing, Aarhus University , Denmark su: Multifractals Ishiguro, Kazuo, 1954- Literary theory Adaptive filters Nobel Prize winners Fractal analysis Sentiment analysis sug: subj: Multifractals Ishiguro, Kazuo, 1954- Literary theory Adaptive filters Nobel Prize winners Fractal analysis Sentiment analysis ab: The moods, feelings, and attitudes represented in a novel will resonate in the reader by activating similar sentiments. It is generally accepted that sentiment analysis can capture aspects of such moods, feelings, and attitudes and can be used to summarize a novel's plot in a story arc. With the availability of a number of algorithms to automatically extract sentiment-based story arcs, new approaches for their utilization becomes pertinent. We propose to use nonlinear adaptive filtering and fractal analysis in order to analyze the narrative coherence and dynamic evolution of a novel. Using Never Let Me Go by Kazuo Ishiguro, the winner of the 2017 Nobel Prize for Literature as an illustrative example, we show that: (1) nonlinear adaptive filtering can extract a story arc that reflects the tragic trend of the novel; (2) the story arc displays persistent dynamics as measured by the Hurst exponent at short and medium timescales; (3) the plot's dynamic evolution is reflected in the time-varying Hurst exponent. We argue that these findings are indicative of the potential that multifractal theory has for computational narratology and large-scale literary analysis. Specifically that the global Hurst exponent of a story arc is an index of narrative coherence that can identify bland, incoherent, and coherent narratives on a continuous scale. And, further, that the local time-varying Hurst exponent captures variation of a novel's plot such that the extrema have specific narratological interpretations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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