Converting the Texts of the U.S. State Constitutions into Quantifiable Data: A Text Analytics Project
- Clouse, Julia G. (George Mason University)
AbstractI compiled this dataset for my dissertation, "Converting the Texts of the U.S. State Constitutions into Quantifiable Data: A Text Analytics Project" (Clouse 2019).
For this project, I converted the texts of two-hundred and three historical and current U.S. state constitutions into quantifiable data, using methods of categorization. Each word of constitutional text was placed into one of thirty-two distinct topical categories, based on the subject matter of the text. For each state constitution, the number of words the constitution devotes to the topical category was entered into the dataset under the appropriate category heading.
The state constitutions represented in the data are:
- The original texts of 153 historical state constitutions (unamended)
- The texts of the current 50 state constitutions (with amendments/revisions made through July 2017)
The thirty-two topical categories are:
Declaration of Rights
Suffrage & Elections
Representation & Apportionment
Taxation & Finance
Business & Corporations
Railroads & Canals
Natural Resources & Environment
1776-01-01 / 2017-12-31Time Period: Mon Jan 01 00:00:00 EST 1776--Sun Dec 31 00:00:00 EST 2017
2011-01-01 / 2018-12-31Collection Date(s): Sat Jan 01 00:00:00 EST 2011--Mon Dec 31 00:00:00 EST 2018
Clouse, Julia G. “Converting the Texts of the U.S. State Constitutions into Quantifiable Data: A Text Analytics Project.” George Mason University, 2019.
Update Metadata: 2020-07-13 | Issue Number: 1 | Registration Date: 2020-07-13