Arash Aryani

TL;DR: The authors investigated the relation between general affective meaning and the use of particular phonological segments in poems, presenting a novel quantitative measure to assess the basic affective tone of a text based on foregrounded phonological units and their iconic affective properties.

TL;DR: A probabilistic model to predict the exceeding of a confidence interval for specific sublexical units concerning their frequency of occurrence within a given text contrasted with a reference linguistic corpus for the German language is developed and implemented in a computational application.

TL;DR: The hypothesis that the sound of a word possesses affective iconic characteristics that can implicitly influence listeners when evaluating the affective meaning of that word is tested, suggesting that the process of meaning making is not solely determined by arbitrary mappings between formal aspects of words and concepts they refer to.

TL;DR: This 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.

TL;DR: This article investigated factors shaping poetry reception at multiple levels of analysis using both qualitative and quantitative means for describing structural aspects of poems, scales for assessing subjective dimensions, as well as behavioral and peripheral-physiological measures.