Prose, Verse and Authorship in <i>Dream of the Red Chamber</i>: A Stylometric Analysis

Zhu, Haoran; Lei, Lei; Craig, Hugh

doi:10.1080/09296174.2020.1724677

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…Wang [14] studied more than a hundred words and found clear diction differences between the two parts, claiming that more than one author had been involved. More recently, Zhu et al [19] conducted a Principal Component Analysis on the prose portions of the novel, confirming the two-author claim.…”

Section: Introductionmentioning

confidence: 56%

“…Following many previous studies [19,33,34], the data for the current study were obtained from the DRC text provided by Yuanze University (https://cls.hs.yzu.edu.tw/hlm/), because this version is considered to be the closest to the original text. To obtain homogeneous text samples, we extracted a continuous body of text of 2000 words from each chapter.…”

Section: Methodsmentioning

confidence: 99%

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A Quantitative Study on Dream of the Red Chamber: Word‐Length Distribution and Authorship Attribution

Liu

Feng

2022

Complexity

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This paper investigates the distribution characteristics of word lengths in the Dream of the Red Chamber (DRC), measured in terms of the number of syllables or characters. The results show that the frequency distribution of words of different lengths in the DRC abides by the extended logarithmic distribution model. A comparison between the first forty, the middle forty, and the last forty chapters shows that the distribution of word lengths in these three parts does not differ significantly, which sheds light on the authorship of the novel.

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Section: Introductionmentioning

confidence: 56%

Section: Methodsmentioning

confidence: 99%

A Quantitative Study on Dream of the Red Chamber: Word‐Length Distribution and Authorship Attribution

Liu

Feng

2022

Complexity

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“…This indicates that techniques and algorithms from TC research may find wide applications in humanities and social sciences. For example, researchers in literary science and linguistics have employed TC as an effective tool in facilitating research such as the attribution of authorship and the interpretation of literary styles (Zhu et al, 2020). As a result of such an interaction between different fields, TC has evolved into an interdisciplinary research area.…”

Section: Discussionmentioning

confidence: 99%

The Research Trends of Text Classification Studies (2000–2020): A Bibliometric Analysis

Zhu

Lei

2022

SAGE Open

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Text Classification (TC) is the process of assigning several different categories to a set of texts. This study aims to evaluate the state of the arts of TC studies. Firstly, TC-related publications indexed in Web of Science were selected as data. In total, 3,121 TC-related publications were published in 760 journals between 2000 and 2020. Then, the bibliographic information was mined to identify the publication trends, important contributors, publication venues, and involved disciplines. Besides, a thematic analysis was performed to extract topics with increasing/decreasing popularity. The findings showed that TC has become a fast-growing interdisciplinary area, and that emerging research powers such as China are playing increasingly important roles in TC research. Moreover, the thematic analysis showed increased interest in topics concerning advanced classification algorithms, performance evaluation methods, and the practical applications of TC. This study will help researchers recognize the recent trends in the area.

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“…Related literature indicates that an impressive body of computer-based work has been done on authorship studies over the last five decades using stylometric approaches (Savoy, 2012). It is also clear that machine learning systems and data mining techniques have been employed usefully in resolving many authorship questions that had long remained unanswered in literary studies (Holmes, 1995a;Zhu, Lei & Craig, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Stylometry-based approaches have been extensively used in studies to resolve many authorship issues in various world pieces of literature (Savoy, 2012;Zhu et al, 2020). The questions surrounding the authorship of the English dramatist and poet William Shakespeare remain the most highly investigated in stylometric authorship studies (Craig & Greatley-Hirsch, 2017;Craig & Kinney, 2009;Mathews & Merriam, 1993;Smith, 1992).…”

Section: Literature Reviewmentioning

confidence: 99%

Authorship attribution of Morsi Gameel Aziz’s lyrics: A clustering-based stylometry approach

Omar

2021

JLLS

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Numerous studies have addressed the issue of the authorship of Morsi Gameel Aziz's lyrics. These studies have traditionally been based on chronological criteria for determining the real authors of disputed lyrics. To date, there is no agreement on the real authors of these disputed lyrics. This can mainly be attributed to both selectivity and the lack of empirical evidence in such studies, raising questions about the reliability of such approaches. With the advent of machine learning systems and data mining techniques, it is now possible to process thousands of texts using replicable methods. Thus, this study seeks to address the issue of the authorship of Morsi Gameel Aziz's lyrics making use of these advances by applying a clustering-based stylometry approach. The hypothesis is that lyrics grouped or clustered together are more likely to be written by the same poet. A corpus of 1,089 lyrics was built, including all known lyrics attributed to Aziz and the lyrics of the poets thought to be the real authors of the disputed lyrics. The lyrics were clustered using the Gibbs sampling Dirichlet multinomial mixture (GSDMM) technique and were assigned to four main classes, with the 12 disputed lyrics clustered within Aziz's class. Based on this, it is clear that the GSDMM model is effective and reliable in clustering short documents in Arabic. The results of the study show that machine learning systems and stylometric authorship techniques can be used in resolving many authorship questions that remain controversial and unanswered in Arabic literature.

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Prose, Verse and Authorship in Dream of the Red Chamber: A Stylometric Analysis

Cited by 7 publications

References 12 publications

A Quantitative Study on Dream of the Red Chamber: Word‐Length Distribution and Authorship Attribution

A Quantitative Study on Dream of the Red Chamber: Word‐Length Distribution and Authorship Attribution

The Research Trends of Text Classification Studies (2000–2020): A Bibliometric Analysis

Authorship attribution of Morsi Gameel Aziz’s lyrics: A clustering-based stylometry approach

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