An Improved Method for Measurement of Gross National Happiness Using Social Network Services
Studies on the measurement of happiness have been utilized in a variety of areas; in particular, it has played an important role in the measurement of society stability. As the number of users of Social Network Services (SNSs) increase, efforts are being
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Abstract Studies on the measurement of happiness have been utilized in a variety of areas; in particular, it has played an important role in the measurement of society stability. As the number of users of Social Network Services (SNSs) increase, efforts are being made to measure human well-being by analyzing user messages in SNSs. Most previous works mainly counted positive and negative words; they did not consider the grammar and emotion. In this paper, we reorganize the mechanism to harness the advantages of (a) Part-Of-Speech (POS) tagging for grammatical analysis, and (b) the SentiWordNet lexicon for the assignment of sentiment scores for emotion degree. We suggest a modified formula for calculating the Gross National Happiness (GNH). To verify the method, we gather a real-world dataset from 405,700 Twitter users, measure the GNH, and compare it with the Gallup well-being release. We demonstrate that the method has more precise computation ability for GNH.
Gross
Y.-M. Huang et al. (eds.), Advanced Technologies, Embedded and Multimedia for Human-centric Computing, Lecture Notes in Electrical Engineering 260, DOI: 10.1007/978-94-007-7262-5_3, Springer Science+Business Media Dordrecht 2014
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Keywords Social network service (SNS) national happiness (GNH)
Happiness
Well-being
D. Wang (&) A. Khiati I.-J. Chung Department of Computer and Information Science, Korea University, Seoul, Korea e-mail: [email protected] A. Khiati e-mail: [email protected] I.-J. Chung e-mail: [email protected] J. Sohn Service Strategy Team, Visual Display, Samsung Electronics, Seoul, Korea e-mail: [email protected] B.-G. Joo Department of Computer and Information Communications, Hong-Ik University, Seoul, Korea e-mail: [email protected]
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D. Wang et al.
Introduction Gross National Happiness (GNH) was initially proposed in 1972 by the former King of Bhutan, who wanted to promote the development of people’s mental health and happiness according to Bhutan’s Buddhist culture [1]. Recently, GNH is utilized in a variety of areas as an evaluative indicator of the measure of happiness in a nation and its regions. Moreover, it plays a predominant role in measuring personal happiness, according to a diversity of studies [2]. Gallup, a representative organization to measure GNH, annually measures happiness for each nation by conducting survey tracking [3]. Evaluating the GNH based on Social Network Services (SNSs) was attempted initially by Kramer [4]. He assumed and proved that the more positive words people used in their updates, the happier they were, and vice versa. Thus, he used LIWC2007 corpus [5] to classify positive and negative words and count them respectively. Additionally, he proposed a formula to normalize the happiness scores, and applied this to his research. Subsequently, various studies were conducted using Kramer’s method. However, Kramer’s method has two problems. • Lack of a Part-Of-Speech (POS) analysis: It is hard to distinguish the sentiment polarity. Considering the statements ‘‘I lik
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