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Comparison of different algorithms for sentiment analysis: Psychological stress notes

  • Sunmoo Yoon
  • , Faith Parsons
  • , Kevin Sundquist
  • , Jacob Julian
  • , Joseph E. Schwartz
  • , Matthew M. Burg
  • , Karina W. Davidson
  • , Keith M. Diaz
  • Columbia University
  • Yale University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

To visualize and compare three text analysis algorithms of sentiment (AFINN, Bing, Syuzhet), applied to 1549 ecologically assessed self-report stress notes obtained by smartphone, in order to gain insights about stress measurement and management.

Original languageEnglish
Title of host publicationMEDINFO 2017
Subtitle of host publicationPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
EditorsAdi V. Gundlapalli, Jaulent Marie-Christine, Zhao Dongsheng
PublisherIOS Press BV
Pages1292
Number of pages1
ISBN (Electronic)9781614998297
DOIs
StatePublished - 2017
Event16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China
Duration: Aug 21 2017Aug 25 2017

Publication series

NameStudies in Health Technology and Informatics
Volume245
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Country/TerritoryChina
CityHangzhou
Period08/21/1708/25/17

Keywords

  • Natural language processing

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