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  5. Data and scripts from: Analyzing Trends in Americans with Disabilities Act Judicial Opinions Using Latent Dirichlet Allocation

Data and scripts from: Analyzing Trends in Americans with Disabilities Act Judicial Opinions Using Latent Dirichlet Allocation

File(s)
Mitchell_ADALDA24_ReadMe.txt (2.94 KB)
CaseCitations.txt (373.77 KB)
Mitchell_ADALDA24_Code.zip (9.3 KB)
Mitchell_ADALDA24_Data.zip (1.79 MB)
Permanent Link(s)
https://doi.org/10.7298/831p-dx97
https://hdl.handle.net/1813/115495
Collections
ILR Student Works
Author
Mitchell, Connor
Abstract

These files contain data supporting all results reported in Mitchell, Analyzing Americans with Disabilities Act Judicial Opinions Using Latent Dirichlet Allocation. I found quantitative trends in judicial opinions regarding reasonable accommodations under the Americans with Disabilities Act since the passage of the Americans with Disabilities Act Amendments Act of 2008. Thousands of opinions were processed using Latent Dirichlet Allocation via MALLET. That output was further processed with regard to the venue and date in which the opinion was published.

Description
Dataset is licensed under CC BY 4.0.
Code is licensed under GNU GPLv3.
Date Issued
2024
Publisher
Cornell University Library eCommons Repository
Keywords
disability
•
quantitative judicial research
•
latent dirichlet allocation
•
americans with disabilities act
Rights
Attribution 4.0 International
GNU GPLv3
Rights URI
https://creativecommons.org/licenses/by/4.0/
Type
dataset
software

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