{"title":"Forging Better Axes: Evaluating and Improving the Reliability of Semantic Dimensions in Word Embeddings","authors":"Andrei Boutyline, Elle Johnston","doi":"10.1177/00491241261467930","DOIUrl":null,"url":null,"abstract":"Word embeddings are a powerful tool for measuring cultural meaning using large text corpora. In sociology, applications commonly estimate the meanings of concepts by projecting keywords onto axes constructed from pairs of opposing anchor keywords. At present, there are no established metrics for assessing axis reliability from embedding data. We investigate three potentially relevant forms of reliability: parallelism between offsets, synonymy between same-endpoint anchors, and antonymy between opposed anchors. Using an original <jats:inline-formula> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" overflow=\"scroll\"> <mml:mi>N</mml:mi> <mml:mo>=</mml:mo> <mml:mn>1</mml:mn> <mml:mo>,</mml:mo> <mml:mn>750</mml:mn> </mml:math> </jats:inline-formula> survey of respondents’ ratings of several hundred terms along 36 semantic dimensions plus existing ratings for 3 more, we find that parallelism robustly outperforms the other metrics in predicting the accuracy of 39,000 axes that operationalize these dimensions. Our decomposition of the parallelism–accuracy relationship between and within latent dimensions and anchor sets further shows that, while reliability is robustly related to axis accuracy at all levels, it provides a relatively weak guide for selecting specific keywords. Instead, the primary utility of parallelism may lie at higher levels of methodological decision-making: strongly identifying the most empirically tractable semantic dimension and, secondarily, suggesting the best embedding model for an anchor set.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"27 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sociological Methods & Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/00491241261467930","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Word embeddings are a powerful tool for measuring cultural meaning using large text corpora. In sociology, applications commonly estimate the meanings of concepts by projecting keywords onto axes constructed from pairs of opposing anchor keywords. At present, there are no established metrics for assessing axis reliability from embedding data. We investigate three potentially relevant forms of reliability: parallelism between offsets, synonymy between same-endpoint anchors, and antonymy between opposed anchors. Using an original N=1,750 survey of respondents’ ratings of several hundred terms along 36 semantic dimensions plus existing ratings for 3 more, we find that parallelism robustly outperforms the other metrics in predicting the accuracy of 39,000 axes that operationalize these dimensions. Our decomposition of the parallelism–accuracy relationship between and within latent dimensions and anchor sets further shows that, while reliability is robustly related to axis accuracy at all levels, it provides a relatively weak guide for selecting specific keywords. Instead, the primary utility of parallelism may lie at higher levels of methodological decision-making: strongly identifying the most empirically tractable semantic dimension and, secondarily, suggesting the best embedding model for an anchor set.
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.