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    Rights statement: http://journals.cambridge.org/action/displayJournal?jid=APS The final, definitive version of this article has been published in the Journal, Applied Psycholinguistics, 35 (2), pp 313-331 2014, © 2014 Cambridge University Press.

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How are affective word ratings related to lexicosemantic properties?: evidence from the Sussex Affective Word List

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How are affective word ratings related to lexicosemantic properties? evidence from the Sussex Affective Word List. / Citron, Francesca M. M.; Weekes, Brendan S.; Ferstl, Evelyn C.
In: Applied Psycholinguistics, Vol. 35, No. 2, 03.2014, p. 313-331.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Citron FMM, Weekes BS, Ferstl EC. How are affective word ratings related to lexicosemantic properties? evidence from the Sussex Affective Word List. Applied Psycholinguistics. 2014 Mar;35(2):313-331. Epub 2012 Nov 22. doi: 10.1017/S0142716412000409

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Citron, Francesca M. M. ; Weekes, Brendan S. ; Ferstl, Evelyn C. / How are affective word ratings related to lexicosemantic properties? evidence from the Sussex Affective Word List. In: Applied Psycholinguistics. 2014 ; Vol. 35, No. 2. pp. 313-331.

Bibtex

@article{8fd908974a794a699024c6ee19522bba,
title = "How are affective word ratings related to lexicosemantic properties?: evidence from the Sussex Affective Word List",
abstract = "Emotional content of verbal material affects the speed of visual word recognition in various cognitive tasks, independently of lexicosemantic variables. However, little is known about how the dimensions of emotional arousal and valence interact with the lexicosemantic properties of words such as age of acquisition, familiarity, and imageability, that determine word recognition performance. This study aimed to examine these relationships using English ratings for affective and lexicosemantic features. Eighty-two native English speakers rated 300 words for emotional valence, arousal, familiarity, age of acquisition, and imageability. Although both dimensions of emotion were correlated with lexicosemantic variables, a unique emotion cluster produced the strongest quadratic relationship. This finding suggests that emotion should be included in models of word recognition as it is likely to make an independent contribution.",
keywords = "AGE-OF-ACQUISITION, EMOTIONAL WORDS, LARGE SET, CONCRETENESS, VALENCE, AROUSAL, NORMS, IMAGEABILITY, FAMILIARITY, FREQUENCY",
author = "Citron, {Francesca M. M.} and Weekes, {Brendan S.} and Ferstl, {Evelyn C.}",
note = "http://journals.cambridge.org/action/displayJournal?jid=APS The final, definitive version of this article has been published in the Journal, Applied Psycholinguistics, 35 (2), pp 313-331 2014, {\textcopyright} 2014 Cambridge University Press.",
year = "2014",
month = mar,
doi = "10.1017/S0142716412000409",
language = "English",
volume = "35",
pages = "313--331",
journal = "Applied Psycholinguistics",
issn = "0142-7164",
publisher = "Cambridge University Press",
number = "2",

}

RIS

TY - JOUR

T1 - How are affective word ratings related to lexicosemantic properties?

T2 - evidence from the Sussex Affective Word List

AU - Citron, Francesca M. M.

AU - Weekes, Brendan S.

AU - Ferstl, Evelyn C.

N1 - http://journals.cambridge.org/action/displayJournal?jid=APS The final, definitive version of this article has been published in the Journal, Applied Psycholinguistics, 35 (2), pp 313-331 2014, © 2014 Cambridge University Press.

PY - 2014/3

Y1 - 2014/3

N2 - Emotional content of verbal material affects the speed of visual word recognition in various cognitive tasks, independently of lexicosemantic variables. However, little is known about how the dimensions of emotional arousal and valence interact with the lexicosemantic properties of words such as age of acquisition, familiarity, and imageability, that determine word recognition performance. This study aimed to examine these relationships using English ratings for affective and lexicosemantic features. Eighty-two native English speakers rated 300 words for emotional valence, arousal, familiarity, age of acquisition, and imageability. Although both dimensions of emotion were correlated with lexicosemantic variables, a unique emotion cluster produced the strongest quadratic relationship. This finding suggests that emotion should be included in models of word recognition as it is likely to make an independent contribution.

AB - Emotional content of verbal material affects the speed of visual word recognition in various cognitive tasks, independently of lexicosemantic variables. However, little is known about how the dimensions of emotional arousal and valence interact with the lexicosemantic properties of words such as age of acquisition, familiarity, and imageability, that determine word recognition performance. This study aimed to examine these relationships using English ratings for affective and lexicosemantic features. Eighty-two native English speakers rated 300 words for emotional valence, arousal, familiarity, age of acquisition, and imageability. Although both dimensions of emotion were correlated with lexicosemantic variables, a unique emotion cluster produced the strongest quadratic relationship. This finding suggests that emotion should be included in models of word recognition as it is likely to make an independent contribution.

KW - AGE-OF-ACQUISITION

KW - EMOTIONAL WORDS

KW - LARGE SET

KW - CONCRETENESS

KW - VALENCE

KW - AROUSAL

KW - NORMS

KW - IMAGEABILITY

KW - FAMILIARITY

KW - FREQUENCY

U2 - 10.1017/S0142716412000409

DO - 10.1017/S0142716412000409

M3 - Journal article

VL - 35

SP - 313

EP - 331

JO - Applied Psycholinguistics

JF - Applied Psycholinguistics

SN - 0142-7164

IS - 2

ER -