Prediction analysis of the happiness ranking of countries based on macro level factors

Author:

Handayani Dini Oktarina Dwi,Lubis Muharman,Ridho Lubis Arif

Abstract

Happiness is an essential universal human goal in their life that can improve the quality of life. Since the introduction of positive psychology, the primary consideration has been pointed out to the study of the role from certain factors in predicting the happiness, especially the advancement of technology that allows computer-mediated to be part of human interaction. It provides a multidimensional approach and indirect influence to the human expression and communication. The project investigates what it takes to build a happy country by analysing on the relationship between the happiness ranking of countries and their macro level factors. The World Happiness Report 2019 is used coupled with Python programming for visualizing and extracting information from the dataset to better understand the bigger picture.

Publisher

Institute of Advanced Engineering and Science

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Information Systems and Management,Control and Systems Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Novel Fuzzy Feature Generation Approach for Happiness Prediction;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-04

2. Money talks, happiness walks: dissecting the secrets of global bliss with machine learning;Journal of Chinese Economic and Business Studies;2023-08-09

3. Need of Machine Learning to Predict Happiness: A Systematic Review;Edumania-An International Multidisciplinary Journal;2023-07-20

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