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DSC #10: Heather Likes Principal Component Analysis

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Abstract/Contents

Abstract
In DSC #10: Heather Likes Principal Component Analysis, guest Data-Sitter Heather Froehlich explains principal component analysis to Quinn Dombrowski and Katia Bowers, who work with Mark Algee-Hewitt to make sense of the results they get for the Baby-Sitters Club corpus.

Description

Type of resource text
Date created July 20, 2021
Date modified January 24, 2024
Publication date January 24, 2024; July 20, 2021

Creators/Contributors

Author Froehlich, Heather ORCiD icon https://orcid.org/0000-0001-9984-725X (unverified)
Author Algee-Hewitt, Mark ORCiD icon https://orcid.org/0000-0002-2628-588X (unverified)
Author Dombrowski, Quinn ORCiD icon https://orcid.org/0000-0001-5802-6623 (unverified)
Author Bowers, Katherine ORCiD icon https://orcid.org/0000-0002-3747-5160 (unverified)

Subjects

Subject Digital humanities
Subject Text data mining
Subject Children's literature, American
Subject Principal components analysis
Genre Text
Genre Code
Genre Essay
Genre Computer program
Genre Essays

Bibliographic information

Related item
Title
DSC #10: Heather Loves Principal Component Analysis
Preferred citation
Algee-Hewitt, Mark, Katherine Bowers, Quinn Dombrowski, and Heather Froehlich. “Heather Loves Principal Component Analysis”. The Data-Sitters Club. July 20, 2021. https://datasittersclub.github.io/site/dsc10.html
DOI https://doi.org/10.25740/bx457br7329
Location https://purl.stanford.edu/bx457br7329

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Use and reproduction
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License
This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International license (CC BY-NC).

Preferred citation

Froehlich, H., Algee-Hewitt, M., Dombrowski, Q., and Bowers, K. (2024). DSC #10: Heather Likes Principal Component Analysis. Stanford Digital Repository. Available at https://purl.stanford.edu/bx457br7329. https://doi.org/10.25740/bx457br7329.

Collection

The Data-Sitters Club

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Contact information

qad@stanford.edu

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