TY - GEN

T1 - The Geography of 'Fear', 'Sadness', 'Anger' and 'Joy'

T2 - Exploring the Emotional Landscapes in the Holocaust Survivors' Testimonies

AU - Ezeani, Ignatius

AU - Rayson, Paul

AU - Gregory, Ian N.

AU - Cole, Tim

AU - Steiner, Erik

AU - Frank, Zephyr

PY - 2024/3/24

Y1 - 2024/3/24

N2 - Holocaust survivors’ testimonies provide a rich source of evidence about the personal experiences of survivors who witnessed and endured horrors during the Nazi genocide of Jews and other persecuted groups. The narratives contain references to the emotions experienced when describing memories of people, places, and events. Analysing the spatiality of these human emotions enables us to understand how they are connected to the places around them. We focus on fear, sadness, anger, as well as joy to examine the interplay of these emotional experiences by multiple individuals at different places and times and in different circumstances. Understanding these complex emotional landscapes, especiallyfrom very large collections of textual data requires a carefully designed technique that can effectively and efficiently apply existing and new technologies. In this work, therefore, we explore the possibility of extracting and analysing these emotions as well as their related geographies by applying a combinationof natural language processing methods including large language models.

AB - Holocaust survivors’ testimonies provide a rich source of evidence about the personal experiences of survivors who witnessed and endured horrors during the Nazi genocide of Jews and other persecuted groups. The narratives contain references to the emotions experienced when describing memories of people, places, and events. Analysing the spatiality of these human emotions enables us to understand how they are connected to the places around them. We focus on fear, sadness, anger, as well as joy to examine the interplay of these emotional experiences by multiple individuals at different places and times and in different circumstances. Understanding these complex emotional landscapes, especiallyfrom very large collections of textual data requires a carefully designed technique that can effectively and efficiently apply existing and new technologies. In this work, therefore, we explore the possibility of extracting and analysing these emotions as well as their related geographies by applying a combinationof natural language processing methods including large language models.

M3 - Conference contribution/Paper

VL - 3671

T3 - CEUR Workshop Proceedings

SP - 93

EP - 103

BT - Proceedings of Text2Story - Seventh Workshop on Narrative Extraction From Texts held in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024)

PB - CEUR Workshop Proceedings

ER -