ITHEA® International Journal
"Information Theories and Applications"
2023, Volune 30, Nimber 3
A System for Retrieval, Storage, and Phonemic Representation of Internet News for Studying the Relationship Between the Phonemic Content and the Emotional Valence of Written Sources
Rosen Stefanov, Martin Konstantinov, Velina Slavova
Copy Citation Text:
Rosen Stefanov, Martin Konstantinov, Velina Slavova, "A System for Retrieval, Storage, and Phonemic Representation of Internet News for Studying the Relationship Between the Phonemic Content and the Emotional Valence of Written Sources" IJ ITA, Vol. 30, Issue 3, pp. 227-246. (2023)
DOI: https://doi.org/10.54521/ijita30-03-p02
Abstract:
The computer system presented here was developed in order to collect data allowing testing statistically the hypothesis that the sublexical level of language carries information about the emotional valence (positive - negative emotion) expressed in a text. The system collects data from authoritative news sources, stores them, represents them at the sublexical level as meaning-unloaded word parts, and analyzes them in order to investigate the relationship between phonetic content and emotional valence of written sources. Given the linguistic dependency of the study, based on dependencies derived from the analysis of an emotionally rated corpus of English, the test news items that the presented system accumulates are from native English speaking authors.
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