Investigating the Affective Part of Subjective Well-Being (SWB) by Means of Sentiment Analysis

Autor/in	Weismayer, C.
Titel	Investigating the Affective Part of Subjective Well-Being (SWB) by Means of Sentiment Analysis
Quelle	In: International Journal of Social Research Methodology, 24 (2021) 6, S.697-712 (16 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Weismayer, C.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1364-5579
DOI	10.1080/13645579.2020.1816251
Schlagwörter	Well Being; Data Analysis; Semi Structured Interviews; Life Satisfaction; Language Usage; Psychological Patterns; Foreign Countries; Austria + Suchen Sie Ihr Suchwort? Well-being; Wellness; Wohlbefinden; Auswertung; Lebensvollendung; Sprachgebrauch; Ausland; Österreich
Abstract	The use of multiple measures for the operationalization of subjective well-being (SWB) is highly recommended, as each approach brings exposure to different errors. To supplement the approaches proposed in the literature, the paper at hand outlines a complemental text mining technique -- sentiment detection -- which presents an efficient solution for big data analyses. Empirical findings from its application to 466 semi-structured life satisfaction (LS) interviews are contrasted with happiness and satisfaction ratings derived from the interviewees themselves as well as from external raters. In addition, detailed insights are presented into the use of emotive language in LS interviews and into relations between base emotions for the following affective features: anger, joy, sadness, disgust, surprise, trust, fear, and anticipation. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01