{"pk":27212,"title":"Measuring Abstract Mindsets through Syntax: Improvements in Automating theLinguistic Category Model","subtitle":null,"abstract":"The Linguistic Category Model (LCM) was developed as a manual coding scheme for quantifying abstract mindsetsin human language. Previous attempts to computationally automate the LCM have relied primarily on pre-coded semanticfeatures, which fail to incorporate important contextual information integral to the LCM coding scheme. In this paper, weintroduce Syntax-LCM, a novel method for automating LCM coding using syntax and dependency tree features as predictors ofconstrual level. We compare the accuracy of Syntax-LCM to that of two previously used automated methods: LIWC LCM andBrysbaert concreteness ratings. We find support that the Syntax-LCM approximates the hand-coded LCM with higher accuracycompared to both the Brysbaert and the LIWC LCM. We also provide evidence that the syntactic features accounted for bySyntax-LCM mirror the inclusion criteria in the original coding manual and support theoretical relationships between distanceand abstract thinking.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Posters: Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/8xt033x4","frozenauthors":[{"first_name":"Kate","middle_name":"M.","last_name":"Johnson","name_suffix":"","institution":"University of Southern California","department":""},{"first_name":"Reihane","middle_name":"","last_name":"Boghrati","name_suffix":"","institution":"University of Southern California","department":""},{"first_name":"Cheryl","middle_name":"","last_name":"Wakslak","name_suffix":"","institution":"University of Southern California","department":""},{"first_name":"Morteza","middle_name":"","last_name":"Dehghani","name_suffix":"","institution":"University of Southern California","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2017-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/27212/galley/16848/download/"}]}