Earticle

초록

영어

Opinions, the key influencer of human behavior and activity is ranked as of one of the strong factors that determine the effectiveness of one’s strategy and approach in terms of influential power and trend setting capabilities. This highlights the importance of sentiment analysis done upon the extracted data. Today, statistics have shown significantly that most opinions can be obtained via many social media platforms. Social media has provided a convenient platform for web users to comfortably share their thoughts and to boldly voice up. Having to process such huge amount of data, it is proposed that automated sentiment analysis is done when extracting social media data. Using an effective algorithm which produces meaningful information from raw data, the possibilities of venturing deeper into areas like decision making and influential thinking are simply limitless.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Problem Formulation
 4. Motivation
 5. Proposed Solution
 6. Experimental Tests
 7. Conclusions
 References

키워드

저자

• Estelle Xin Ying Kee [ School of Computing and IT, Taylor’s University, Malaysia ]
• Jer Lang Hong [ School of Computing and IT, Taylor’s University, Malaysia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605