Zotero is a tool for collecting and managing bibliographic data. Zotero is especially useful as a data collection tool for computational humanities, since it is quite good at scraping metadata and (when available) full-text documents from databases like Google Scholar, JSTOR, and PubMed. This video provides an introduction to collecting various kinds of bibliographic data from the internet, with an emphasis on obtaining full-text content.
This video tutorial was created for the course "Introduction to Digital & Computational Methods in the Humanities (HPS)" ( BIO/HPS/ENG 498/591) at Arizona State University, taught by Erick Peirson, Julia Damerow, and Manfred Laubichler.
In this tutorial, we'll use the Paper Machines extension to extract plain text from the items our Zotero Collection, create a simple word cloud visualization (using tf*idf filtering), and export plain texts for use in other analytic software.
For the full tutorial, go to: https://devo-evo.lab.asu.edu/methods/?q=node/23
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In this tutorial, we'll start using the concordance program, AntConc, to analyze our text collection. We'll focus specifically on how to perform a collocation (or co-occurrence) analysis, and how to compare collocation results in Excel.
For the full tutorial, go to: https://devo-evo.lab.asu.edu/methods/?q=node/28