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Presentation . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Other literature type . 2019
License: CC BY
Data sources: ZENODO
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ZENODO
Presentation . 2019
License: CC BY
Data sources: Datacite
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Web scraping for DH

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 04 Dec 2019 English Publisher:Zenodo
Authors: Lee, Yoo Young;

doi: 10.5281/zenodo.3572685 , 10.5281/zenodo.3572684

Web scraping for DH

Abstract

This presentation was delivered at the DH toolbox series at the University of Ottawa on December 4th, 2019. Learn three approaches (Google Sheets, Python, and R) to scrape web data and how these techniques can be applied to daily work and research.

Keywords

Digital Humanities, DH, Web scraping

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
8
11
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Digital Humanities and Cultural Heritage