Social Web Observatory: An entity-driven, holistic information summarization platform across sources

Leonidas Tsekouras, Georgios Petasis, Aris Kosmopoulos


Abstract
The Social Web Observatory is an entity-driven, sentiment-aware, event summarization web platform, combining various methods and tools to overview trends across social media and news sources in Greek. SWO crawls, clusters and summarizes information following an entity-centric view of text streams, allowing to monitor the public sentiment towards a specific person, organization or other entity. In this paper, we overview the platform, outline the analysis pipeline and describe a user study aimed to quantify the usefulness of the system and especially the meaningfulness and coherence of discovered events.
Anthology ID:
W19-8907
Volume:
Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources
Month:
September
Year:
2019
Address:
Varna, Bulgaria
Venues:
RANLP | WS
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
44–52
Language:
URL:
https://www.aclweb.org/anthology/W19-8907
DOI:
10.26615/978-954-452-058-8_007
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-8907.pdf