Authors:
Roxana Bersan
;
Dimitrios Kampas
and
Christoph Schommer
Affiliation:
University of Luxembourg, Luxembourg
Keyword(s):
Artificial Agents, Financial News, Document Polarity, Wisdom of Crowd, Self-organisation, Social Systems.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Auctions and Markets
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Group Decision Making
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
This position paper raises the question on how we can keep an independent standpoint regarding the finding of a polarity in a news document. As we know, an usefulness and relevance of a text news may be seen differently by a group of evaluators. The differences are depending on their interests, their knowledge, and/or their ability to understand. Recent research in literature mostly follow a top-down approach, which is either a context-based solution or a dictionary-based approach. With respect to the perspective (standpoint) of an evaluator, we therefore come up with an alternative approach, which is bottom-up and which tends to overcome the power of a single evaluator. The idea is to introduce a collection of theme-related artificial agents (financial, economic, or political, . . . ), which are able to vote. A decision regarding the polarity of a financial news bases on the interplay of a social collection of agents (a swarm), which serve and assist the artificial agents while fulf
illing simple (linguistic, statistical) tasks.
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