Details
| Original language | English |
|---|---|
| Publisher | Springer Nature |
| Number of pages | 257 |
| ISBN (electronic) | 9783031644511 |
| ISBN (print) | 9783031644504 |
| Publication status | Published - 19 Nov 2024 |
Abstract
This open access book presents interdisciplinary and cross-sectoral research results fostering event analytics across languages and communities. It is based on the CLEOPATRA International Training Network, which explored how we analyze and understand the major events that influence and shape our lives and societies, and how they unfold online. This analysis was achieved through various case studies, the development of novel methodologies in fields such as data mining and natural language processing, and the creation of new event-centric datasets aggregated in the Open Event Knowledge Graph (OEKG), a multilingual event-centric knowledge graph that contains more than 1 million events in 15 languages. The book is divided into three parts, focusing on different aspects of event analytics across languages and communities: Part I Event-centric Multilingual and Multimodal NLP Technologies presents five chapters reporting on recent developments in NLP technologies required to process multilingual information. Next, the four chapters of Part II: Event-centric Multilingual Knowledge Technologies discuss technologies integrating multilingual event-centric information in knowledge graphs and providing user access to such information. Finally, Part III: Event Analytics covers three selected aspects of multilingual event analytics, namely an analysis of event-centric news spreading barriers, claim detection in social media, and the narrativization of events as a means of presenting event data. This book is mainly written for researchers in academia and industry, who work on topics like natural language processing, large language models, multilingual information retrieval or event analytics.
Keywords
- Cleopatra ITN project, Digital humanities, Event analytics, Knowledge graphs, Media analysis, Media studies, Natural language processing, Open access, Social sciences
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
- Social Sciences(all)
- General Social Sciences
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Springer Nature, 2024. 257 p.
Research output: Book/Report › Monograph › Research › peer review
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TY - BOOK
T1 - Event analytics across languages and communities
A2 - Marenzi, Ivana
A2 - Gottschalk, Simon
A2 - Müller-Budack, Eric
A2 - Tadic, Marko
A2 - Winters, Jane
N1 - Publisher Copyright: © The Author(s) 2025. All rights reserved.
PY - 2024/11/19
Y1 - 2024/11/19
N2 - This open access book presents interdisciplinary and cross-sectoral research results fostering event analytics across languages and communities. It is based on the CLEOPATRA International Training Network, which explored how we analyze and understand the major events that influence and shape our lives and societies, and how they unfold online. This analysis was achieved through various case studies, the development of novel methodologies in fields such as data mining and natural language processing, and the creation of new event-centric datasets aggregated in the Open Event Knowledge Graph (OEKG), a multilingual event-centric knowledge graph that contains more than 1 million events in 15 languages. The book is divided into three parts, focusing on different aspects of event analytics across languages and communities: Part I Event-centric Multilingual and Multimodal NLP Technologies presents five chapters reporting on recent developments in NLP technologies required to process multilingual information. Next, the four chapters of Part II: Event-centric Multilingual Knowledge Technologies discuss technologies integrating multilingual event-centric information in knowledge graphs and providing user access to such information. Finally, Part III: Event Analytics covers three selected aspects of multilingual event analytics, namely an analysis of event-centric news spreading barriers, claim detection in social media, and the narrativization of events as a means of presenting event data. This book is mainly written for researchers in academia and industry, who work on topics like natural language processing, large language models, multilingual information retrieval or event analytics.
AB - This open access book presents interdisciplinary and cross-sectoral research results fostering event analytics across languages and communities. It is based on the CLEOPATRA International Training Network, which explored how we analyze and understand the major events that influence and shape our lives and societies, and how they unfold online. This analysis was achieved through various case studies, the development of novel methodologies in fields such as data mining and natural language processing, and the creation of new event-centric datasets aggregated in the Open Event Knowledge Graph (OEKG), a multilingual event-centric knowledge graph that contains more than 1 million events in 15 languages. The book is divided into three parts, focusing on different aspects of event analytics across languages and communities: Part I Event-centric Multilingual and Multimodal NLP Technologies presents five chapters reporting on recent developments in NLP technologies required to process multilingual information. Next, the four chapters of Part II: Event-centric Multilingual Knowledge Technologies discuss technologies integrating multilingual event-centric information in knowledge graphs and providing user access to such information. Finally, Part III: Event Analytics covers three selected aspects of multilingual event analytics, namely an analysis of event-centric news spreading barriers, claim detection in social media, and the narrativization of events as a means of presenting event data. This book is mainly written for researchers in academia and industry, who work on topics like natural language processing, large language models, multilingual information retrieval or event analytics.
KW - Cleopatra ITN project
KW - Digital humanities
KW - Event analytics
KW - Knowledge graphs
KW - Media analysis
KW - Media studies
KW - Natural language processing
KW - Open access
KW - Social sciences
UR - http://www.scopus.com/inward/record.url?scp=105002628244&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-64451-1
DO - 10.1007/978-3-031-64451-1
M3 - Monograph
AN - SCOPUS:105002628244
SN - 9783031644504
BT - Event analytics across languages and communities
PB - Springer Nature
ER -