10.60507/FK2/BK14F8 Schilling, Julia Julia Schilling https://orcid.org/0009-0005-4105-1415 Universität Bonn Fuchs, Robert Robert Fuchs https://orcid.org/0000-0001-7694-062X Universität Bonn bonndata 2025 Arts and Humanities Schilling, Julia Julia Schilling Universität Bonn 2025-11-05 2025-11-11 10.60507/FK2/BK14F8/AO0DXN 10.60507/FK2/BK14F8/EAAWDF 10.60507/FK2/BK14F8/7S5YMO 10.60507/FK2/BK14F8/IZUWVA 10.60507/FK2/BK14F8/E0US4A 10.60507/FK2/BK14F8/WPIVQ7 10.60507/FK2/BK14F8/4MRUKO 10.60507/FK2/BK14F8/KFLETH 10.60507/FK2/BK14F8/NYCNQ2 10.60507/FK2/BK14F8/YR2EVG 10.60507/FK2/BK14F8/IJ8QLP 10.60507/FK2/BK14F8/SXTZG5 10.60507/FK2/BK14F8/MTPXVR 10.60507/FK2/BK14F8/YYXKMI 10.60507/FK2/BK14F8/KFPU60 10.60507/FK2/BK14F8/QGVBAT 10.60507/FK2/BK14F8/PHSGX8 10.60507/FK2/BK14F8/FRVM41 7110 9106 13103889 20533 7007 1057511 12827129 1058835 7038 330359 2310611 916161 26326 846946 2154423 303972 4200254 9188 text/csv text/x-python-script text/csv text/x-python-script text/csv text/csv text/csv text/csv text/csv text/csv text/csv text/csv text/x-r-notebook text/csv text/csv text/csv text/csv text/markdown 1.0 Creative Commons Attribution 4.0 International License. This repository contains all data and scripts used for the study “Project 2025 as a Technocratic Blueprint: A Corpus-Based Linguistic Analysis of Conservative Governance Discourse” (Schilling & Fuchs, 2025). The study investigates the language of the Heritage Foundation’s Project 2025, a 900-page conservative policy blueprint, using methods from Corpus-Assisted Discourse Studies (CADS), Political Discourse Analysis (PDA), and psycholinguistic text analysis. The corpus includes Project 2025 and Democratic and Republican Party platforms (2016–2024). The dataset includes: Raw data (/data/raw_data/): full texts of Project 2025 and party platforms in CSV format. Processed data (/data/raw_data/Project2025_lemmaPOS.csv): tokenized, lemmatized, and POS-tagged text. Keyness results (/data/keyness/): unigram and bigram keyness calculations (log-likelihood, log-ratio). Collocation results (/data/collocations/): top 10 adjective, noun, and verb collocates per node. LIWC results (/data/liwc/): LIWC-22 category scores for each corpus. Analysis scripts (/code/): R Markdown file (analysis_project2025.Rmd) and two Python scripts for collocation and keyness analysis. All files are in UTF-8 plain-text format. The dataset contains no personal, sensitive, or proprietary data and derives entirely from publicly accessible political documents. spaCy, 3.7 R, 4.4.1 RStudio, 2024.09.0+375 Python, 3.11.8 LIWC, 22