Emotion at the end of life: Semantic annotation and key domains in a pilot study audiovisual corpus
Metadatos
Afficher la notice complèteAuteur
López Rodríguez, Clara InésEditorial
Elsevier
Materia
Emotions Emotion talk Health care communication Corpus analysis tools Semantic annotation
Date
2022-07-28Referencia bibliográfica
Clara Inés López-Rodríguez, Emotion at the end of life: Semantic annotation and key domains in a pilot study audiovisual corpus, Lingua, Volume 277, 2022, 103401, ISSN 0024-3841, [https://doi.org/10.1016/j.lingua.2022.103401]
Patrocinador
FEDER Andalucia A-HUM-131-UGR18; Andalusian Regional Government (Junta de Andalucia-Consejeria de Economia y Conocimiento); Spanish Government; European Commission A-HUM-131-UGR18; Universidad de Granada/CBUA PID2020-118775RB-C21Résumé
This article focuses on emotion talk in English and the semantic annotation of emotions in a pilot study corpus about
the end of life. It describes the process of compiling and annotating a corpus containing the transcript of the verbal component
of audiovisual material regarding end-of-life care. The paper also aims to present a lexico-semantic analysis of
emotion talk based on the combined use of two corpus processing tools: Wmatrix and Sketch Engine. The findings indicate
that the limitations of semantic annotation can be overcome by concordance and collocational analysis. They also
reveal that the lexis of emotion is commonly present at the end of life and show the main keywords and key concepts,
the predominant semantic categories of emotion and the most frequent emotion words in the corpus. The results suggest
that the most frequent emotions in the corpus are SADNESS, FEAR, LIKING, LOVE, HAPPINESS/RELIEF, WORRY, CALMNESS, ANGER,
HOPE and CONFIDENCE.