Emotional Valence Coded in the Phonemic Content – Statistical Evidence Based on Corpus Analysis

This study investigates the relationship between the phonemic content of texts in English and the emotional valence they inspire. The sublexical content is presented in terms of biphones composed by one vowel and one consonant. The statistical analysis of a vast corpus of emotionally evaluated sente...

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Main Author: Slavova Velina
Format: Article
Language:English
Published: Sciendo 2020-06-01
Series:Cybernetics and Information Technologies
Subjects:
Online Access:https://doi.org/10.2478/cait-2020-0012
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author Slavova Velina
author_facet Slavova Velina
author_sort Slavova Velina
collection DOAJ
description This study investigates the relationship between the phonemic content of texts in English and the emotional valence they inspire. The sublexical content is presented in terms of biphones composed by one vowel and one consonant. The statistical analysis of a vast corpus of emotionally evaluated sentences reveals a strong correlation between this sublexical presentation and the evaluations of valence provided by the readers. An initial test performed with other valence-rated prose texts makes believing that the feature observed within the corpus can be useful for the emotion classification of texts.
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spelling doaj.art-0c0b9e874ada41adbfe59c636a1d99d62022-12-22T03:13:50ZengSciendoCybernetics and Information Technologies1314-40812020-06-0120232110.2478/cait-2020-0012Emotional Valence Coded in the Phonemic Content – Statistical Evidence Based on Corpus AnalysisSlavova Velina0New Bulgarian University, Department of Informatics, 21 Montevideo Str., Sofia, BulgariaThis study investigates the relationship between the phonemic content of texts in English and the emotional valence they inspire. The sublexical content is presented in terms of biphones composed by one vowel and one consonant. The statistical analysis of a vast corpus of emotionally evaluated sentences reveals a strong correlation between this sublexical presentation and the evaluations of valence provided by the readers. An initial test performed with other valence-rated prose texts makes believing that the feature observed within the corpus can be useful for the emotion classification of texts.https://doi.org/10.2478/cait-2020-0012natural language processingsound-symbolismcorpus linguisticstext emotion recognition
spellingShingle Slavova Velina
Emotional Valence Coded in the Phonemic Content – Statistical Evidence Based on Corpus Analysis
Cybernetics and Information Technologies
natural language processing
sound-symbolism
corpus linguistics
text emotion recognition
title Emotional Valence Coded in the Phonemic Content – Statistical Evidence Based on Corpus Analysis
title_full Emotional Valence Coded in the Phonemic Content – Statistical Evidence Based on Corpus Analysis
title_fullStr Emotional Valence Coded in the Phonemic Content – Statistical Evidence Based on Corpus Analysis
title_full_unstemmed Emotional Valence Coded in the Phonemic Content – Statistical Evidence Based on Corpus Analysis
title_short Emotional Valence Coded in the Phonemic Content – Statistical Evidence Based on Corpus Analysis
title_sort emotional valence coded in the phonemic content statistical evidence based on corpus analysis
topic natural language processing
sound-symbolism
corpus linguistics
text emotion recognition
url https://doi.org/10.2478/cait-2020-0012
work_keys_str_mv AT slavovavelina emotionalvalencecodedinthephonemiccontentstatisticalevidencebasedoncorpusanalysis