Medicine in the<i>Monthly Review</i>: Revealing public medical discourse with topic modelling

Arnold, Whitney; Arnold, Corey

doi:10.1093/llc/fqab034

Cited by 3 publications

(2 citation statements)

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“…Karami and his team were able to detect several patterns among the publications by identifying frequencies over time and calculate weights of categories. Similarly, Arnold and Arnold (2022) Evaluating the Topic Model Fit…”

Section: Topic Modelingmentioning

confidence: 99%

“…They discovered popularity themes and displayed their findings with summary tables, word clouds, and hierarchical heat maps. By deploying text mining and LDA topic modeling techniques similar toArnold and Arnold (2022),Karami et al (2019), andPorturas and Taylor (2021), I was able to capture the different main points and pathways of latent topics contained in the large collection of medical case reports.…”

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Examining the Educational Depth of Medical Case Reports and Radiology with Text Mining

Collinsworth

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The purpose of this dissertation was to use the technology of text mining and topic modeling to explore unobserved themes of medical case reports that involve medical imaging. Case reports have a valuable place in medical research because they provide educational benefits, offer evidence, and encourage discussions. Their form has evolved throughout the years, but they have remained a key staple in providing important information to the medical communities around the world with educational context and illuminating visuals. Examining medical case reports that have been published throughout the years on multiple medical subjects can be challenging, therefore text mining and topic modeling methods were used to analyze a large set of abstracts from medical case reports involving radiology. The total number of abstracts used for the data analysis was 68,845 that were published between the years 1975 to 2022. The findings indicate that text mining and topic modeling can offer a unique and reproducible approach to examine a large quantity of abstracts for theme analysis.

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Section: Topic Modelingmentioning

confidence: 99%

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Examining the Educational Depth of Medical Case Reports and Radiology with Text Mining

Collinsworth

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The Victorian anti-vaccination discourse corpus (VicVaDis): construction and exploration

Hardaker,

Deignan,

Semino

et al. 2023

Digital Scholarship in the Humanities

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This article introduces and explores the 3.5-million-word Victorian Anti-Vaccination Discourse Corpus (VicVaDis). The corpus is intended to provide a (freely accessible) historical resource for the investigation of the earliest public concerns and arguments against vaccination in England, which revolved around compulsory vaccination against smallpox in the second half of the 19th century. It consists of 133 anti-vaccination pamphlets and publications gathered from 1854 to 1906, a span of 53 years that loosely coincides with the Victorian era (1837–1901). This timeframe was chosen to capture the period between the 1853 Vaccination Act, which made smallpox vaccination for babies compulsory, and the 1907 Act that effectively ended the mandatory nature of vaccination. After an overview of the historical background, this article describes the rationale, design and construction of the corpus, and then demonstrates how it can be exploited to investigate the main arguments against compulsory vaccination by means of widely accessible corpus linguistic tools. Where appropriate, parallels are drawn between Victorian and 21st-century vaccine-hesitant attitudes and arguments. Overall, this article demonstrates the potential of corpus analysis to add to our understanding of historical concerns about vaccination.

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The design methods meshwork: Activating the Design Methods Group Newsletter through digital history

Vardouli,

Leblanc,

Pertigkiozoglou

2024

International Journal of Architectural Computing

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This article elaborates a computationally enabled approach to the study of design methods in 1960s North America. This entails the construction, visualization, and analysis of a digital database built from entries of the Design Methods Group Newsletter, a periodical published monthly between 1966-71. The article proposes a workflow that combines methods such as topic modeling and network visualization to activate the Newsletter as a source of anecdotal and informal knowledge, and to enable histories of connectivity and transaction that may elude archival investigations on singular actors or institutions. In doing so, the article contributes arguments and techniques for the study of design methods as a complex social, technical, and intellectual meshwork. The meshwork brings discursive themes, techniques, actors, and institutions at the same level of investigation and allows for layered cartographies of the field that advanced the systematic study of design and ushered in the development of early computer applications.

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Medicine in theMonthly Review: Revealing public medical discourse with topic modelling

Cited by 3 publications

References 40 publications

Examining the Educational Depth of Medical Case Reports and Radiology with Text Mining

Examining the Educational Depth of Medical Case Reports and Radiology with Text Mining

The Victorian anti-vaccination discourse corpus (VicVaDis): construction and exploration

The design methods meshwork: Activating the Design Methods Group Newsletter through digital history

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