FCASM2T: The Tools and Functionalities

Journal article


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Publication Details

Subtitle: Features Identification Process
Author list: Moreira, F., Seruca, I., Ferreira, M.J.
Publisher: Elsevier: Creative Commons Attribution Non-Commercial No-Derivatives License
Publication year: 2015
Journal: Procedia Computer Science (1877-0509)
Volume number: 64
Start page: 170
End page: 179
Number of pages: 10
ISBN: 18770509
ISSN: 1877-0509
Languages: English-Great Britain (EN-GB)


The huge popularity and evolution of the Web in the last decade, and the
rapid advances in ICT allowed an exponential growth of the volume and
diversity of data produced by social media. The widespread use of social
media has encouraged citizens to give their opinions more freely and
actively participate in several aspects of modern life. The data
provided in this context can have a great impact on business, where
often opinions of customers may contribute to the success of a product
or service, or destroy the reputation of a brand or a company. The
effective and full use of social media by organizations require that
they are able to monitor and analyse the high volumes of heterogeneous
data that are produced by these media, so as to obtain relevant
information and valuable insights for decision making and for conducting
their business. Due to the diversity of social media monitoring tools
available and wide range of features offered, the FCASM2T
(Framework for classification and adoption of social media monitoring
tools) was proposed to classify and guide the process of adoption of
such a tool (or set of tools) by an organization. This paper addresses
the first stage of the framework, the Tools and functionalities/features
identification process, describing its rationale and way-of-working. ©
2015 The Authors. Published by Elsevier B.V


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Last updated on 2019-13-08 at 00:15