文本分析中的关系诱导工具包

IF 6.5 2区社会学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS

Sociological Methods & Research Pub Date : 2024-02-29 DOI:10.1177/00491241241233242

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

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引用次数: 0

摘要

从词嵌入中得出的距离可以衡量一系列渐变关系--相似性、层次、蕴涵和定型--并且可以在文档和作者层面上使用，克服了加权词典方法的一些局限性。我们全面介绍了如何使用词嵌入进行关系归纳，并展示了这种技术如何作为无监督的演绎方法对词典方法进行补充。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Tool Kit for Relation Induction in Text Analysis

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.

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来源期刊

Sociological Methods & Research Multiple-

CiteScore

16.30

自引率

3.20%

发文量

期刊介绍： Sociological Methods & Research is a quarterly journal devoted to sociology as a cumulative empirical science. The objectives of SMR are multiple, but emphasis is placed on articles that advance the understanding of the field through systematic presentations that clarify methodological problems and assist in ordering the known facts in an area. Review articles will be published, particularly those that emphasize a critical analysis of the status of the arts, but original presentations that are broadly based and provide new research will also be published. Intrinsically, SMR is viewed as substantive journal but one that is highly focused on the assessment of the scientific status of sociology. The scope is broad and flexible, and authors are invited to correspond with the editors about the appropriateness of their articles.