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Orientador(es)
Resumo(s)
We are now part of a networked society, characterized by the intensive
use and dependence of information systems that deals with communication and
information, to support decision-making. It is thus clear that organizations, in
order to interact effectively with their customers, need to manage their communication
activities at the level of online channels. Monitoring these communications
can contribute to obtain decision support insights, reduce costs, optimize
processes, etc. In this work, we semantically studied the discursive exchanges of
a Facebook group created by a strawberries’ seller, in order to predict, through
Social Network Analysis (SNA) and semantic analysis of the posts, the quantities
to be ordered by customers. The obtained results show that the unstructured data
of the Web’s speech can be used to support the decision through SNA.
Descrição
Palavras-chave
Social network analysis Decision support Web discourse
Contexto Educativo
Citação
Freire M., Antunes F., Costa J.P. (2017) A Semantics Extraction Framework for Decision Support in Context-Specific Social Web Networks. In: Linden I., Liu S., Colot C. (eds) Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems. ICDSST 2017. Lecture Notes in Business Information Processing, vol 282. Springer, Cham
Editora
Springer Publishing Company