Analysis of Anxious Word Usage on Online Health Forums

Nicolas Rey-Villamizar, Prasha Shrestha, Farig Sadeque, Steven Bethard, Ted Pedersen, Arjun Mukherjee, Thamar Solorio

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

2 Scopus citations

Abstract

Online health communities and support groups are a valuable source of information for users suffering from a physical or mental illness. Users turn to these forums for moral support or advice on specific conditions, symptoms, or side effects of medications. This paper describes and studies the linguistic patterns of a community of support forum users over time focused on the used of anxious related words. We introduce a methodology to identify groups of individuals exhibiting linguistic patterns associated with anxiety and the correlations between this linguistic pattern and other word usage. We find some evidence that participation in these groups does yield positive effects on their users by reducing the frequency of anxious related word used over time.

Original languageEnglish (US)
Title of host publicationEMNLP 2016 - 7th International Workshop on Health Text Mining and Information Analysis, LOUHI 2016 - Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages37-42
Number of pages6
ISBN (Electronic)9781945626333
StatePublished - 2016
EventEMNLP 2016 7th International Workshop on Health Text Mining and Information Analysis, LOUHI 2016 - Austin, United States
Duration: Nov 5 2016 → …

Publication series

NameEMNLP 2016 - 7th International Workshop on Health Text Mining and Information Analysis, LOUHI 2016 - Proceedings of the Workshop

Conference

ConferenceEMNLP 2016 7th International Workshop on Health Text Mining and Information Analysis, LOUHI 2016
Country/TerritoryUnited States
CityAustin
Period11/5/16 → …

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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