增强社会科学家:使用顺序迁移学习以人类水平的准确性注释数百万文本

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

Sociological Methods & Research Pub Date : 2022-12-04 DOI:10.1177/00491241221134526

Salomé Do, Étienne Ollion, Rubing Shen

引用次数: 3

摘要

过去十年见证了可用文本数据量的惊人增长。随着这种新的丰富性而来的是如何分析它的问题。在社会科学领域，学者们大多采用……

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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The Augmented Social Scientist: Using Sequential Transfer Learning to Annotate Millions of Texts with Human-Level Accuracy

The last decade witnessed a spectacular rise in the volume of available textual data. With this new abundance came the question of how to analyze it. In the social sciences, scholars mostly resorte...

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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.