Werlen, Egon and Imhof, Christof and Benites, Fernando and Bergamin, Per (2019) The reader’s feeling and text-based emotions: The relationship between subjective self-reports, lexical ratings, and sentiment analysis. In: Proceedings of the 4th Swiss Text Analytics Conference (Swiss-Text 2019) 4th Swiss Text Analytics Conference (Swiss-Text 2019), 18th-19th Juni 2019, Winterthur.
Text
SwissText_2019_Werlen_etal.pdf Download (524kB) |
Abstract
In 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.
Item Type: | Article in conference proceedings or Presentation at a conference (Poster) |
---|---|
Uncontrolled Keywords: | subjective self-report, lexical rating, sentiemtn analysis, emotions, emotional valence |
Subjects: | Linguistics, classics and related subjects > Linguistics > Linguistics not elsewhere classified Education > Academic studies in education |
Department/unit: | Fernfachhochschule Schweiz |
Depositing User: | Egon Werlen |
Date Deposited: | 20 Sep 2019 04:28 |
Last Modified: | 20 Sep 2019 04:28 |
URI: | http://repository.supsi.ch/id/eprint/11019 |
Actions (login required)
View Item |