21 to 30 of 111 Results
Apr 5, 2024
Blankenship, Avery, 2024, "Replication Data for: What We Didn’t Know a Recipe Could Be: Political Commentary, Machine Learning Models, and the Fluidity of Form in Nineteenth-Century Newspaper Recipes", https://doi.org/10.7910/DVN/QZTGLC, Harvard Dataverse, V1, UNF:6:YXxfPwP5QYpbCKUgS4nxXQ== [fileUNF]
This dataset corresponds to the article entitled "What We Didn’t Know a Recipe Could Be: Political Commentary, Machine Learning Models, and the Fluidity of Form in Nineteenth-Century Newspaper Recipes" which is published in Cultural Analytics. This set includes both the Python code used to train a Doc2Vec/Logistic Regression model on recipe data as... |
Mar 4, 2024
Krasselt, Julia; Dreesen, Philipp, 2024, "Replication Data for:", https://doi.org/10.7910/DVN/FRYPSL, Harvard Dataverse, V1
The folder contains everything that is needed to reproduce findings, figures and tables presented in the following publication: Krasselt, J., & Dreesen, Ph. (2024). Topic models indicate textual aboutness and pragmatics: Valuation practices in Islamophobic discourse. Journal of Cultual Analytics. In detail: R Script to reproduce figures and tables:... |
Feb 27, 2024
Kuijpers, Moniek, 2024, "AbsORB Annotation Guidelines and Metadata Corpus - English - February 2024", https://doi.org/10.7910/DVN/OPF0FV, Harvard Dataverse, V1
Online book reviews posted on social media platforms are a relatively new form of reader testimonials that can be of use to researchers from different disciplines to investigate reading experience and evaluation, as well as social discourse about reading. In this project we developed an approach for annotating online book reviews using the Story Wo... |
Feb 12, 2024
Boyle, Dominick, 2024, "Replication Data for: "Authentic and amazing": authenticity as an evaluative category in online consumer restaurant reviews.", https://doi.org/10.7910/DVN/9JVSMI, Harvard Dataverse, V1, UNF:6:Rc3v9qwWd//Z3VYNRpqWig== [fileUNF]
This dataset corresponds to the paper "'Authentic and amazing': authenticity as an evaluative category in online consumer restaurant reviews" appearing in Cultural Analytics. This dataset provides the R scripts used for the preparation, analysis as well as the import of data to Sketch Engine, the ID lists of the reviews in Corpus 1, 2 and 3, as wel... |
Oct 10, 2023
Barré, Jean, 2023, "Replication Data for: "Operationalizing Canonicity"", https://doi.org/10.7910/DVN/K4AAAF, Harvard Dataverse, V1, UNF:6:haUrhTo302INFMr0beiiDA== [fileUNF]
This repository provides data and code to support the replication of the paper "Operationalizing Canonicity." (2023) |
Sep 19, 2023
Arnold, Taylor; Tilton, Lauren; Wigard, Justin, 2023, "Replication Data for: “Understanding Peanuts and Schulzian Symmetry: Panel Detection, Caption Detection, and Gag Panels in 17,897 Comic Strips Through Distant Viewing.”", https://doi.org/10.7910/DVN/5H0NCA, Harvard Dataverse, V1
Replication data and files associated with “Understanding Peanuts and Schulzian Symmetry: Panel Detection, Caption Detection, and Gag Panels in 17,897 Comic Strips Through Distant Viewing.” The files contained here can be used to recreate the figures associated with “Understanding Peanuts and Schulzian Symmetry.” They contain multiple datasets rela... |
Aug 17, 2023
Ravina, Mark, 2023, "Replication Data for: Algorithmic Maps and the Political Geography of Early-modern Japan", https://doi.org/10.7910/DVN/63MIDP, Harvard Dataverse, V1, UNF:6:Qhy9ZPZ2LJvflxK7miVbDg== [fileUNF]
File descriptions: Village_level_calculations.R — calculates village-level metrics Parcels_sample.txt — random sample of 37,295 parcels from 25,000 unique locations, a random sample of a complete data set of 65,201 unique locations Shikoku_Voronoi_map.R — code to generate Voronoi map “Figure_11_Interactive_map_of_Iyo.html” Shikoku_Voronoi_data.txt... |
Aug 1, 2023
Grisot, Giulia; Herrmann, J. Berenike, 2023, "Examining the representation of landscape and its emotional value in German-Swiss fiction between 1840 and 1940", https://doi.org/10.7910/DVN/T9QAQV, Harvard Dataverse, V1
This repository provides access to the main datasets used in Grisot, G & Herrmann, J. B. (2023) "Examining the representation of landscape and its emotional value in German-Swiss fiction between 1840 and 1940". The data set includes the following items: (1) a comprehensive list of labelled spatial entities: all_entities_new.Rdata; (2) a summary of... |
May 18, 2023
Bowman, Mike, 2023, "Bowman, Mike, 2023, "Modelling results for Text-mining metadata: What can titles tell us of the history of modern and contemporary art?"", https://doi.org/10.7910/DVN/MDGEYO, Harvard Dataverse, V1
This spreadsheet includes the modelling results from the paper 'Text-mining metadata: What can titles tell us of the history of modern and contemporary art?'. |
Mar 17, 2023
Mertehikian, Lucas; Figlerowicz, Matylda, 2023, "Replication Data for: An Ever-Expanding World Literary Genre: Defining Magical Realism on Wikipedia", https://doi.org/10.7910/DVN/1XJ4HQ, Harvard Dataverse, V1
Spreadsheet showing which authors are defined as magical realism according to Wikipedia entries in different languages. |