Khairuddin, Nurul Atasha and Kamardin, Kamilia (2016) Model of sentiment analysis for social media data. In: Postgraduate Annual Research on Informatics Seminar (PARIS 2016), 26-27 Oct 2016, Kuala Lumpur, Malaysia.
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Official URL: http://ais.utm.my/paris2016/papers/
Abstract
Since the introduction of social media, companies are increasingly adopting social media technologies, using Twitter to reach out to customers or YouTube to demonstrate product features. Social media is widely applied as a mean of marketing and public relation by companies. This pa per is reviewing and present a two current system - based on customer’s sentiment measurement in social media. The analysis will cover on system architecture for both system to determine the best characteristic that system should have in order to develop a data analysis application. At the end of the paper, the researcher will be proposed a new architecture which based on the best features from both current chooses system.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | RADIS System Ref No:PB/2016/10449 |
Uncontrolled Keywords: | sentiment analysis, social media |
Subjects: | T Technology |
Divisions: | Advanced Informatics School |
ID Code: | 66936 |
Deposited By: | Siti Nor Hashidah Zakaria |
Deposited On: | 13 Jul 2017 07:22 |
Last Modified: | 13 Jul 2017 07:22 |
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