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Using change point analysis to determine perception accuracyinsocial media opinions

Sallis, P; Claster, W
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IJCT-V2I4P2-Using Change Point Analysis.pdf (2.010Mb)
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http://hdl.handle.net/10292/8973
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Abstract
Social media such as Facebook and Twitter have become repositories for extremely large volumes

of data representing for the most part, personal opinions and statements of individual users of these

instruments for interpersonal communication. They provide a forum for discourse and debate. The strings

of words broadcast by individuals are predominantly casual expressions reflecting personal attitudes or

sentiments. Due to the pervasive nature of social media and the opinions they proliferate, it is assumed

likely that these casual expressions are being relied on by some readers of the discourse, for their decision

making influence. This paper describes how Change Point Analysis (CPA) can be used to bring some

precision to the plethora of casually expressed sentiment sourced from social media databases. It is

contended that where the conjunction of opinions expressed are related to a factual occurrence in time and

space, a change point can be established, which indicates the potential reliability on a given sentiment as

being a reliable influence factor for opinion formulation or other decision. When related to tourist

destination data, the case study for Japan described here is convincing in its analytical result exposition
Date
July 1, 2015
Source
International Journal of Computer Techniques (IJCT) V2(4): Page(6-24) July - August 2015. ISSN: 2394-2231. www.ijctjournal.org.
Item Type
Journal Article
Publisher
International Research Group (IRG)
Publisher's Version
http://ijctjournal.org/Volume2/Issue4/IJCT-V2I4P2.pdf
Rights Statement
This work is licensed under a Creative Commons Attribution 3.0 Unported License - See more at: http://ijctjournal.org/CurrentIssues.htm#sthash.HW2KjZcc.dpuf

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