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Rights Holder and Contact
Tai, Howard; Hansen, Erin; Nagda, Jeet; Pimentel, Carlos
Description
In this project, we build this social space from the ground up. We use a combination of government IRS form 990 (returns for nonprofits) data along with external textual information (i.e. social media) to create a robust semantic space. Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp) Tai, Howard; Hansen, Erin; Nagda, Jeet; Pimentel, Carlos; Reyes, Juan (2019). Classy Data Analysis: Mapping the U.S. Non-Profit Space. In Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone Projects. UC San Diego Library Digital Collections. https://doi.org/10.6075/J079431X
Type
dataset
Identifier
ark:/20775/bb0414285j
Subject
Nonprofit organizations Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone projects Data analysis Internal Revenue Service (IRS), Form 990 Classy DSE MAS - 2019 Cohort
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