DERIV: distributed brand perception tracking framework

DERIV: distributed brand perception tracking framework

Abstract Determining user’s perception of a brand in short periods of time has become crucial for business. Distilling brand perception directly from people’s comments in social media has promise. Current techniques for determining brand perception, such as surveys of handpicked users by mail, in pe...

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Bibliographic Details
Main Authors: Manu Shukla, Raimundo Dos Santos, Andrew Fong, Chang-Tien Lu
Format: Article
Language:English
Published: SpringerOpen 2017-06-01
Series:Journal of Big Data
Subjects:
Big data
Distributed learning
Brand perception
In-memory distribution
Online Access:http://link.springer.com/article/10.1186/s40537-017-0078-3

Internet

http://link.springer.com/article/10.1186/s40537-017-0078-3

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