Open Access
ARTICLE
User Profile System Based on Sentiment Analysis for Mobile Edge Computing
Sang-Min Park1, Young-Gab Kim2, *
1 Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea.
2 Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul, 05006, Korea.
* Corresponding Author: Young-Gab Kim. Email: .
Computers, Materials & Continua 2020, 62(2), 569-590. https://doi.org/10.32604/cmc.2020.08666
Abstract
Emotions of users do not converge in a single application but are scattered across
diverse applications. Mobile devices are the closest media for handling user data and these
devices have the advantage of integrating private user information and emotions spread
over different applications. In this paper, we first analyze user profile on a mobile device by
describing the problem of the user sentiment profile system in terms of data granularity,
media diversity, and server-side solution. Fine-grained data requires additional data and
structural analysis in mobile devices. Media diversity requires standard parameters to
integrate user data from various applications. A server-side solution presents a potential risk
when handling individual privacy information. Therefore, in order to overcome these
problems, we propose a general-purposed user profile system based on sentiment analysis
that extracts individual emotional preferences by comparing the difference between public
and individual data based on particular features. The proposed system is built based on a
sentiment hierarchy, which is created by using unstructured data on mobile devices. It can
compensate for the concentration of single media, and analyze individual private data
without the invasion of privacy on mobile devices.
Keywords
Cite This Article
S. Park and Y. Kim, "User profile system based on sentiment analysis for mobile edge computing,"
Computers, Materials & Continua, vol. 62, no.2, pp. 569–590, 2020. https://doi.org/10.32604/cmc.2020.08666
Citations