Screening Twitter Users for Depression and PTSD with Lexical Decision Lists

Research output: Chapter in Book/Report/Conference proceedingConference contribution

45 Scopus citations

Abstract

This paper describes various systems from the University of Minnesota, Duluth that participated in the CLPsych 2015 shared task. These systems learned decision lists based on lexical features found in training data. These systems typically had average precision in the range of .70 – .76, whereas a random baseline attained .47 – .49.

Original languageEnglish (US)
Title of host publication2nd Computational Linguistics and Clinical Psychology
Subtitle of host publicationFrom Linguistic Signal to Clinical Reality, CLPsych 2015 - Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages46-53
Number of pages8
ISBN (Electronic)9781941643433
DOIs
StatePublished - 2015
Event2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 - Denver, United States
Duration: Jun 5 2015 → …

Publication series

Name2nd Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 - Proceedings of the Workshop

Conference

Conference2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015
Country/TerritoryUnited States
CityDenver
Period6/5/15 → …

Bibliographical note

Publisher Copyright:
© 2015 Association for Computational Linguistics

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