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On the Relation between the General Affective Meaning and the Basic Sublexical, Lexical, and Inter-lexical Features of Poetic Texts—A Case Study Using 57 Poems of H. M. Enzensberger

Overview of attention for article published in Frontiers in Psychology, January 2017
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Title
On the Relation between the General Affective Meaning and the Basic Sublexical, Lexical, and Inter-lexical Features of Poetic Texts—A Case Study Using 57 Poems of H. M. Enzensberger
Published in
Frontiers in Psychology, January 2017
DOI 10.3389/fpsyg.2016.02073
Pubmed ID
Authors

Susann Ullrich, Arash Aryani, Maria Kraxenberger, Arthur M. Jacobs, Markus Conrad

Abstract

The literary genre of poetry is inherently related to the expression and elicitation of emotion via both content and form. To explore the nature of this affective impact at an extremely basic textual level, we collected ratings on eight different general affective meaning scales-valence, arousal, friendliness, sadness, spitefulness, poeticity, onomatopoeia, and liking-for 57 German poems ("die verteidigung der wölfe") which the contemporary author H. M. Enzensberger had labeled as either "friendly," "sad," or "spiteful." Following Jakobson's (1960) view on the vivid interplay of hierarchical text levels, we used multiple regression analyses to explore the specific influences of affective features from three different text levels (sublexical, lexical, and inter-lexical) on the perceived general affective meaning of the poems using three types of predictors: (1) Lexical predictor variables capturing the mean valence and arousal potential of words; (2) Inter-lexical predictors quantifying peaks, ranges, and dynamic changes within the lexical affective content; (3) Sublexical measures of basic affective tone according to sound-meaning correspondences at the sublexical level (see Aryani et al., 2016). We find the lexical predictors to account for a major amount of up to 50% of the variance in affective ratings. Moreover, inter-lexical and sublexical predictors account for a large portion of additional variance in the perceived general affective meaning. Together, the affective properties of all used textual features account for 43-70% of the variance in the affective ratings and still for 23-48% of the variance in the more abstract aesthetic ratings. In sum, our approach represents a novel method that successfully relates a prominent part of variance in perceived general affective meaning in this corpus of German poems to quantitative estimates of affective properties of textual components at the sublexical, lexical, and inter-lexical level.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Researcher 5 18%
Student > Ph. D. Student 5 18%
Student > Doctoral Student 4 14%
Student > Postgraduate 2 7%
Other 1 4%
Unknown 6 21%
Readers by discipline Count As %
Psychology 7 25%
Linguistics 6 21%
Arts and Humanities 2 7%
Social Sciences 2 7%
Computer Science 2 7%
Other 3 11%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 January 2017.
All research outputs
#20,397,576
of 22,947,506 outputs
Outputs from Frontiers in Psychology
#24,292
of 30,094 outputs
Outputs of similar age
#357,260
of 422,172 outputs
Outputs of similar age from Frontiers in Psychology
#354
of 414 outputs
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