Replication Data for: A framework for the unsupervised analysis of images (doi:10.7910/DVN/PZYLYU)

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Document Description

Citation

Title:

Replication Data for: A framework for the unsupervised analysis of images

Identification Number:

doi:10.7910/DVN/PZYLYU

Distributor:

Harvard Dataverse

Date of Distribution:

2023-07-27

Version:

1

Bibliographic Citation:

Torres, Michelle, 2023, "Replication Data for: A framework for the unsupervised analysis of images", https://doi.org/10.7910/DVN/PZYLYU, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication Data for: A framework for the unsupervised analysis of images

Identification Number:

doi:10.7910/DVN/PZYLYU

Authoring Entity:

Torres, Michelle (Rice University)

Distributor:

Harvard Dataverse

Access Authority:

Torres, Michelle

Depositor:

Code Ocean

Holdings Information:

https://doi.org/10.7910/DVN/PZYLYU

Study Scope

Keywords:

Social Sciences, visual framing, image analysis, computer vision

Abstract:

This article introduces to political science a framework to analyze the content of visual material through unsupervised and semi-supervised methods. It details the implementation of a tool from the computer vision field, the Bag of Visual Words, for the definition and extraction of "tokens'' that allow researchers to build an Image-Visual Word matrix which emulates the Document-Term matrix in text analysis. This reduction technique is the basis for several tools familiar to social scientists, such as topic models, that permit exploratory, and semi-supervised analysis of images. The framework has gains in transparency, interpretability, and inclusion of domain knowledge with respect to other deep learning techniques. I illustrate the scope of the BoVW by conducting a novel visual structural topic model which focuses substantively on the identification of visual frames from the pictures of the migrant caravan from Central America.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

Forthcoming, Political Analysis

Other Study-Related Materials

Label:

capsule-2035317 (1).zip

Notes:

application/zip

Other Study-Related Materials

Label:

result-7c7901aa-a745-4e31-b3e9-a7d3558e3d3a.zip

Notes:

application/zip