An Improved Method for Measurement of Gross National Happiness Using Social Network Services

  • Dongsheng Wang
  • Abdelilah Khiati
  • Jongsoo Sohn
  • Bok-Gyu Joo
  • In-Jeong Chung
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 260)

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.

Keywords

Social network service (SNS) Happiness Well-being Gross national happiness (GNH) 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Dongsheng Wang
    • 1
  • Abdelilah Khiati
    • 1
  • Jongsoo Sohn
    • 2
  • Bok-Gyu Joo
    • 3
  • In-Jeong Chung
    • 1
  1. 1.Department of Computer and Information ScienceKorea UniversitySeoulKorea
  2. 2.Service Strategy Team, Visual Display, Samsung ElectronicsSeoulKorea
  3. 3.Department of Computer and Information CommunicationsHong-Ik UniversitySeoulKorea

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