A Tool Kit for Relation Induction in Text Analysis

Dustin S. Stoltz, Marshall A. Taylor and Jennifer S. K. Dudley

Sociological Methods & Research, 2025, vol. 54, issue 2, 565-604

Abstract: Distances derived from word embeddings can measure a range of gradational relations—similarity, hierarchy, entailment, and stereotype—and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation induction, and demonstrate how such techniques can complement dictionary methods as unsupervised, deductive methods.

Keywords: computational text analysis; word embeddings; semantic relations; dictionaries; cultural sociology (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/00491241241233242 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:54:y:2025:i:2:p:565-604

DOI: 10.1177/00491241241233242

Access Statistics for this article

More articles in Sociological Methods & Research
Bibliographic data for series maintained by SAGE Publications ().