DSC Multilingual Mystery #3: Quinn and Lee Clean Up Ghost Cat Data-Hairballs

Placeholder Show Content

Abstract/Contents

Abstract
In DSC Multilingual Mystery #3: Quinn and Lee Clean Up Ghost Cat Data-Hairballs, Quinn Dombrowski and Lee Skallerup Bessette work on creating a metadata spreadsheet for the Baby-Sitters Club corpus in translation using web scraping and OpenRefine. There is also some commentary from the beginning of the COVID-19 pandemic.

Description

Type of resource text
Date created March 1, 2020 - April 2, 2020
Publication date January 24, 2024; April 2, 2020

Creators/Contributors

Author Dombrowski, Quinn ORCiD icon https://orcid.org/0000-0001-5802-6623 (unverified)
Author Skallerup Bessette, Lee ORCiD icon https://orcid.org/0000-0002-0827-3420 (unverified)

Subjects

Subject Digital humanities
Subject Text data mining
Subject Metadata
Subject Web scraping
Subject COVID-19 Pandemic (2020-)
Genre Text
Genre Code
Genre Essay
Genre Computer program
Genre Essays

Bibliographic information

Related item
DOI https://doi.org/10.25740/yx951qc9382
Location https://purl.stanford.edu/yx951qc9382

Access conditions

Use and reproduction
User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International license (CC BY-NC).

Preferred citation

Preferred citation
Dombrowski, Q. and Skallerup Bessette, L. (2024). DSC Multilingual Mystery #3: Quinn and Lee Clean Up Ghost Cat Data-Hairballs. Stanford Digital Repository. Available at https://purl.stanford.edu/yx951qc9382. https://doi.org/10.25740/yx951qc9382.

Collection

Contact information

Also listed in

Loading usage metrics...