Impact du 3e confinement lié à la Covid19 sur les émotions des Français : exploration textuelle de 481 601 flux Twitter

Gouvernet, Brice; Guénolé, N.; Chapillon, Pierre; Combaluzier, S.; Gouvernet, C.; Plaie, Thierry

doi:10.1016/j.psfr.2022.07.003

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Lexical Content Analysis1

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2023

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“…Negative and positive emotions are then broken down into 3 lower and increasingly specific levels. The EMOTAIX-Tropes software has been recently used to analyse self-defining autobiographic memories of French speakers in [18] and emotional qualifications of tweets during the covid-19 confinement in [19].…”

Section: Lexical Content Analysismentioning

confidence: 99%

Affective attributes of French caregivers' professional speech

Rouas¹,

Wu²,

Shochi³

2023

Interspeech 2023

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In this paper, we detail our approach to studying the vocal characteristics of caregivers in French retirement homes. To achieve this goal, we conducted recordings of 20 professional caregivers across two retirement homes. Using headset microphones connected to smartphones, we were able to capture the caregivers' speech while allowing them complete freedom of movement without compromising sound quality. The recordings consisted of three tasks: reading text, informal interviews, and professional role-play scenarios with a fictitious patient. We processed the recordings using an automatic speech recognition system, which provided word or phone sequences and their corresponding timestamps. Our analysis focused on identifying differences in emotional tone, lexical content, speech rate, fundamental frequency, and intensity between spontaneous speech conditions. Ultimately, our aim is to develop automated training tools that capture the unique vocal characteristics of professional caregivers.

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Section: Lexical Content Analysismentioning

confidence: 99%