<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

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

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This study investigates the relationship between the phonemic content of texts in English and the emotional valence they inspire. The sublexical content is...

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

Pubblicato online: 12 giu 2020

Pagine: 3 - 21

Ricevuto: 18 feb 2020

Accettato: 12 mag 2020

DOI: https://doi.org/10.2478/cait-2020-0012

Parole chiave
Natural language processing, Sound-symbolism, Corpus linguistics, Text emotion recognition

© 2020 Velina Slavova, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Pubblicato online: 12 giu 2020

Pagine: 3 - 21

Ricevuto: 18 feb 2020

Accettato: 12 mag 2020

DOI: https://doi.org/10.2478/cait-2020-0012

Parole chiaveNatural language processing, Sound-symbolism, Corpus linguistics, Text emotion recognition

© 2020 Velina Slavova, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
Natural language processing, Sound-symbolism, Corpus linguistics, Text emotion recognition