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

Author:

Slavova Velina1

Affiliation:

1. New Bulgarian University , Department of Informatics , 21 Montevideo Str., Sofia , Bulgaria

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sentiment recognition and analysis method of official document text based on BERT–SVM model;Neural Computing and Applications;2023-03-09

2. Concepts and Categories: A Data Science Approach to Semiotics;Studies in Logic, Grammar and Rhetoric;2022-12-01

3. Bad news or good news when recognizing emotional valence using phonemic content;2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH);2022-03-16

4. On the revealing the emotional valence in communication by text;Procedia Computer Science;2021

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