Raw data and analysis code for the study “Project 2025 as a technocratic blueprint: A corpus-based linguistic analysis of conservative governance discourse”doi:10.60507/FK2/BK14F8bonndata2025-11-111Schilling, Julia; Fuchs, Robert, 2025, "Raw data and analysis code for the study “Project 2025 as a technocratic blueprint: A corpus-based linguistic analysis of conservative governance discourse”", https://doi.org/10.60507/FK2/BK14F8, bonndata, V1Raw data and analysis code for the study “Project 2025 as a technocratic blueprint: A corpus-based linguistic analysis of conservative governance discourse”doi:10.60507/FK2/BK14F8Schilling, JuliaFuchs, RobertspaCyRRStudioPythonLIWCbonndataSchilling, JuliaSchilling, Julia2025-11-05Arts and HumanitiesThis 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.<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a>Schilling, Julia & Fuchs, Robert (2025). Project 2025 as a Technocratic Blueprint: A Corpus-Based Linguistic Analysis of Conservative Governance Discourse. Submitted manuscript, PLOS ONE.Schilling, Julia & Fuchs, Robert (2025). Project 2025 as a Technocratic Blueprint: A Corpus-Based Linguistic Analysis of Conservative Governance Discourse. Submitted manuscript, PLOS ONE.README_Project2025.mdtext/markdownanalysis_project2025.Rmdtext/x-r-notebookcollocation_analysis.pytext/x-python-scriptkeyness_analysis.pytext/x-python-scriptP2025_colloc_ADJ_w7_top10_per_node.csvtext/csvP2025_colloc_NOUN_w7_top10_per_node.csvtext/csvP2025_colloc_VERB_w7_top10_per_node.csvtext/csvkeyness_1gram_pos_manifesto_dem_overuse.csvtext/csvkeyness_1gram_pos_manifesto_rep_overuse.csvtext/csvkeyness_2gram_pos_manifesto_dem_overuse.csvtext/csvkeyness_2gram_pos_manifesto_rep_overuse.csvtext/csvProject2025_lemmaPOS.csvtext/csvPlatforms_Democrats_LIWC_subset.csvtext/csvPlatforms_Republicans_LIWC_subset.csvtext/csvProject2025_LIWC_subset.csvtext/csvPlatforms_Democrats.csvtext/csvPlatforms_Republicans.csvtext/csvProject2025.csvtext/csv