Social Web Observatory: A Platform and Method for Gathering Knowledge on Entities from Different Textual Sources

Leonidas Tsekouras, Georgios Petasis, George Giannakopoulos, Aris Kosmopoulos


Abstract
Within this work we describe a framework for the collection and summarization of information from the Web in an entity-driven manner. The framework consists of a set of appropriate workflows and the Social Web Observatory platform, which implements those workflows, supporting them through a language analysis pipeline. The pipeline includes text collection/crawling, identification of different entities, clustering of texts into events related to entities, entity-centric sentiment analysis, but also text analytics and visualization functionalities. The latter allow the user to take advantage of the gathered information as actionable knowledge: to understand the dynamics of the public opinion for a given entity over time and across real-world events. We describe the platform and the analysis functionality and evaluate the performance of the system, by allowing human users to score how the system fares in its intended purpose of summarizing entity-centered information from different sources in the Web.
Anthology ID:
2020.lrec-1.246
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
COLING | LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
2000–2008
Language:
English
URL:
https://www.aclweb.org/anthology/2020.lrec-1.246
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.lrec-1.246.pdf