Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-18859
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dc.contributor.authorWerlen, Egon-
dc.contributor.authorImhof, Christof-
dc.contributor.authorBenites, Fernando-
dc.contributor.authorBergamin, Per B.-
dc.date.accessioned2019-12-09T15:36:40Z-
dc.date.available2019-12-09T15:36:40Z-
dc.date.issued2019-09-
dc.identifier.urihttp://ceur-ws.org/Vol-2458/paper4.pdfde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18859-
dc.description.abstractIn this study, we examined how precisely a sentiment analysis and a word list-based lexical analysis predict the emotional valence (as positive or negative emotional states) of 63 emotional short stories. Both the sentiment analysis and the word list-based analysis predicted subjective valence, which however was predicted even more precisely when both analysis methods were combined. These results can, for example, contribute to the development of new technology-based teaching designs, in that positive or negative emotions in the texts or online-contributions of students can be assessed in automated form and transferred into instructional measures. Such instructional actions can, for example, be hints, learning support or feedback adapted to the students' emotional state.de_CH
dc.language.isoende_CH
dc.publisherCEUR Workshop Proceedingsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subject.ddc400: Sprache und Linguistikde_CH
dc.titleThe reader's feeling and text-based emotions : the relationship between subjective self-reports, lexical ratings, and sentiment analysisde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.21256/zhaw-18859-
zhaw.conference.detailsSwissText 2019, Winterthur, 18 - 19 June 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.parentwork.editorCieliebak, Mark-
zhaw.parentwork.editorTuggener, Don-
zhaw.parentwork.editorBenites, Fernando-
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 4th edition of the Swiss Text Analytics Conferencede_CH
zhaw.webfeedSoftware Systemsde_CH
zhaw.author.additionalNode_CH
Appears in collections:Publikationen School of Engineering

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Werlen, E., Imhof, C., Benites, F., & Bergamin, P. B. (2019). The reader’s feeling and text-based emotions : the relationship between subjective self-reports, lexical ratings, and sentiment analysis [Conference paper]. In M. Cieliebak, D. Tuggener, & F. Benites (Eds.), Proceedings of the 4th edition of the Swiss Text Analytics Conference. CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-18859
Werlen, E. et al. (2019) ‘The reader’s feeling and text-based emotions : the relationship between subjective self-reports, lexical ratings, and sentiment analysis’, in M. Cieliebak, D. Tuggener, and F. Benites (eds) Proceedings of the 4th edition of the Swiss Text Analytics Conference. CEUR Workshop Proceedings. Available at: https://doi.org/10.21256/zhaw-18859.
E. Werlen, C. Imhof, F. Benites, and P. B. Bergamin, “The reader’s feeling and text-based emotions : the relationship between subjective self-reports, lexical ratings, and sentiment analysis,” in Proceedings of the 4th edition of the Swiss Text Analytics Conference, Sep. 2019. doi: 10.21256/zhaw-18859.
WERLEN, Egon, Christof IMHOF, Fernando BENITES und Per B. BERGAMIN, 2019. The reader’s feeling and text-based emotions : the relationship between subjective self-reports, lexical ratings, and sentiment analysis. In: Mark CIELIEBAK, Don TUGGENER und Fernando BENITES (Hrsg.), Proceedings of the 4th edition of the Swiss Text Analytics Conference [online]. Conference paper. CEUR Workshop Proceedings. September 2019. Verfügbar unter: http://ceur-ws.org/Vol-2458/paper4.pdf
Werlen, Egon, Christof Imhof, Fernando Benites, and Per B. Bergamin. 2019. “The Reader’s Feeling and Text-Based Emotions : The Relationship between Subjective Self-Reports, Lexical Ratings, and Sentiment Analysis.” Conference paper. In Proceedings of the 4th Edition of the Swiss Text Analytics Conference, edited by Mark Cieliebak, Don Tuggener, and Fernando Benites. CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-18859.
Werlen, Egon, et al. “The Reader’s Feeling and Text-Based Emotions : The Relationship between Subjective Self-Reports, Lexical Ratings, and Sentiment Analysis.” Proceedings of the 4th Edition of the Swiss Text Analytics Conference, edited by Mark Cieliebak et al., CEUR Workshop Proceedings, 2019, https://doi.org/10.21256/zhaw-18859.


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