Computer-Assisted Reading: Reconceiving Text Analysis

Sinclair, Stéfan

doi:10.1093/llc/18.2.175

Cited by 17 publications

(6 citation statements)

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“…Building upon the long tradition of cartography, humanities research has developed a strong focus on visual languages (in their words, visualizations), rather than other forms of inscriptions such as tables or equations, to represent humanities data and knowledge. More specifically, with the evolution of information technologies and computational methods, computer‐assisted visualizations started to receive widespread recognition in digital humanities in the 2000s, when new visualization techniques were developed and applied to facilitate the distant reading of texts (Moretti, 2005; Sinclair, 2003).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The use of visual information as instruments in humanities research is not a new phenomenon: the large body of scholarship in cartography, for example, has always been closely related to humanities disciplines, such as the history (Jessop, 2006). However, computer-assisted visualizations in digital humanities only started to be widely received among DH communities in the 2000s, when new visualization techniques were developed and applied to facilitate the distant reading of texts (Moretti, 2005;Sinclair, 2003).…”

Section: Humanistic Visualizationmentioning

confidence: 99%

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Digital humanities as a cross‐disciplinary battleground: An examination of inscriptions in journal publications

2021

Asso for Info Science & Tech

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Inscriptions are defined as traces of scientific research production that are embodied in material artifacts and media, which encompass a wide variety of nonverbal forms such as graphs, diagrams, and tables. Inscription serves as a fundamental rhetorical device in research outputs and practices. As many inscriptions are deeply rooted in a scientific research paradigm, they can be used to evaluate the level of scientificity of a scientific field. This is specifically helpful to understand the relationships between research traditions in digital humanities (DH), a highly cross‐disciplinary between various humanities and scientific traditions. This paper presents a quantitative, community‐focused examination of how inscriptions are used in English‐language research articles in DH journals. We randomly selected 252 articles published between 2011 and 2020 from a representative DH journal list, and manually classified the inscriptions and author domains in these publications. We found that inscriptions have been increasingly used during the past decade, and their uses are more intensive in publications led by STEM authors comparing to other domains. This study offers a timely survey of the disciplinary landscape of DH from the perspective of inscriptions and sheds light on how different research approaches collaborate and combat in the field of DH.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Humanistic Visualizationmentioning

confidence: 99%

Digital humanities as a cross‐disciplinary battleground: An examination of inscriptions in journal publications

2021

Asso for Info Science & Tech

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“…In particular, text mining allows scholars to scan massive data sets and subsequently to home in on particular results for closer analysis (Hagood, 2012; Manovich, 2012; Wilkens, 2012). Thus a central challenge for digital humanities is to reconcile distant and close reading, text mining and hermeneutics (Evans and Rees, 2012; Hayles, 2010; Liu, 2011; Sinclair, 2003). Along these lines, Ramsay (2003) propagates algorithmic criticism.…”

Section: Workmentioning

confidence: 99%

The conceptual ecology of digital humanities

Poole

2017

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Purpose The purpose of this paper is to dissect key issues and debates in digital humanities, an emerging field of theory and practice. Digital humanities stands greatly to impact the Information and Library Science (ILS) professions (and vice versa) as well as the traditional humanities disciplines. Design/methodology/approach This paper explores the contours of digital humanities as a field, touching upon fundamental issues related to the field’s coalescence and thus to its structure and epistemology. It looks at the ways in which digital humanities brings new approaches and sheds new light on manifold humanities foci. Findings Digital humanities work represents a vital new current of interdisciplinary, collaborative intellectual activity both in- and outside the academy; it merits particular attention from ILS. Research limitations/implications This paper helps potential stakeholders understand the intellectual and practical framework of the digital humanities and “its relationship” to their own intellectual and professional work. Originality/value This paper critically synthesizes previous scholarly work in digital humanities. It has particular value for those in ILS, a community that has proven especially receptive to the field, as well as to scholars working in many humanities disciplines. Digital humanities has already made an important impact on both LIS and the humanities; its impact is sure to grow.

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“…Due to its importance, exploratory search has been investigated intensively. For example, Sinclair et al use word frequency lists, frequency distribution plots and keywordin-context models to enhance computer-assisted reading [3]. More recently, a computational technique named "topic modeling" achieves great success through providing insight into a corpus' contents [2], [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Text Network Exploration via Heterogeneous Web of Topics

Huang

Liu

et al. 2016

2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)

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Abstract-A text network refers to a data type that each vertex is associated with a text document and the relationship between documents is represented by edges. The proliferation of text networks such as hyperlinked webpages and academic citation networks has led to an increasing demand for quickly developing a general sense of a new text network, namely text network exploration. In this paper, we address the problem of text network exploration through constructing a heterogeneous web of topics, which allows people to investigate a text network associating word level with document level. To achieve this, a probabilistic generative model for text and links is proposed, where three different relationships in the heterogeneous topic web are quantified. We also develop a prototype demo system named TopicAtlas to exhibit such heterogeneous topic web, and demonstrate how this system can facilitate the task of text network exploration. Extensive qualitative analyses are included to verify the effectiveness of this heterogeneous topic web. Besides, we validate our model on real-life text networks, showing that it preserves good performance on objective evaluation metrics.

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Computer-Assisted Reading: Reconceiving Text Analysis

Cited by 17 publications

References 0 publications

Digital humanities as a cross‐disciplinary battleground: An examination of inscriptions in journal publications

Digital humanities as a cross‐disciplinary battleground: An examination of inscriptions in journal publications

The conceptual ecology of digital humanities

Text Network Exploration via Heterogeneous Web of Topics

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