Measuring sadness index based on country statistics

Artur Samojluk

University of Warmia and Mazury in Olsztyn

Bartosz Nowak

University of Warmia and Mazury in Olsztyn

Karolina Papiernik




Abstract

The article studied topics related to measuring people’s sadness. For this purpose, the question was asked which factor: social, economic or climate, matters most. The paper analyzed, using machine learning, statistical data related to the number of suicides against the factors: level of Internet access, average income, temperature in a country and, in addition, population density. The method used was correlational statistical analysis using the K-nearest neighbor (KNN) method and also Pearson’s correlation. The results were visualized in the form of graphs, then subjected to final analysis and included in the form of final conclusions.


Keywords:

happiness index, sadness index, k-nn, regression, machine learning


BEYER K., GOLDSTEIN J., RAMAKRISHNAN R., SHAFT U. 1999. When Is “Nearest Neighbor Meaningful?”. Lecture Notes in Computer Science, 1540.
Crossref   Google Scholar

BOGOMOLOV A., LEPRI B., PIANESI F. 2013. Happiness Recognition from Mobile Phone Data. International Conference on Social Computing, 08-14 September 2013, Alexandria, VA, USA. https://doi.org/10.1109/SocialCom.2013.118.
Crossref   Google Scholar

Business and economic data for 200 countries. 2022. The Global Economy. https://www.theglobaleconomy.com/rankings/gdp_per_capita_current_dollars/.   Google Scholar

COVER T., HART P. 1967. Nearest neighbor pattern classification. IEEE Transactions on Information Theory, 13(1): 21–27.
Crossref   Google Scholar

CPALKA K., NOWICKI R.K., RUTKOWSKI L. 2007. Rough-Neuro-Fuzzy Systems for Classifaction. The First IEEE Symposium on Foundations of Computational Intelligence (FOCI’07).
Crossref   Google Scholar

DHARANEESHWARAN, NITHYA S., SRINIVASAN A., SENTHILKUMAR M. 2017. Calculating the user-item similarity using Pearson’s and cosine correlation. International Conference on Trends in Electronics and Informatics (ICEI), p. 1000-1004. https://doi.org/10.1109/ICOEI.2017.8300858.
Crossref   Google Scholar

DREHMER J.E. 2018. Sex differences in the association between countries’ smoking prevalence and happiness ratings. Public Health, 160: 41-48. https://doi.org/10.1016/j.puhe.2018.03.027.
Crossref   Google Scholar

IBNAT F., GYALMO J., ALOM Z., AWAL M.A., AZIM M.A. 2021. Understanding World Happiness using Machine Learning Techniques. International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2).
Crossref   Google Scholar

IVANOVÁ M., KLAMÁR R., FECKOVÁ-ŠKRABUĽÁKOVÁ E. 2022. Identification of factors influencing the quality of life in European Union countries evaluated by Principal Component Analysis. Geographica Pannonica, 26: 13-29. https://doi.org/10.5937/gp26-34191.
Crossref   Google Scholar

KAUR M., DHALARIA M., SHARMA P.K., PARK J.H. 2019. Supervised Machine-Learning Predictive Analytics for National Quality of Life Scoring. Applied Sciences, 9: 1613. https://doi.org/10.3390/app9081613.
Crossref   Google Scholar

KUMAR T. 2015. Solution of Linear and Non Linear Regression Problem by K Nearest Neighbour Approach: By Using Three Sigma Rule. IEEE International Conference on Computational Intelligence & Communication Technology, p. 197-201. https://doi.org/10.1109/CICT.2015.110.
Crossref   Google Scholar

List of Countries by Average Temperature. 2022. List First. https://listfist.com/list-of- countries-by-average-temperature.   Google Scholar

List of countries by suicide rate. 2022. Wikipedia. https://en.wikipedia.org/wiki/List_of_countries_by_suicide_rate.   Google Scholar

MA W., TAN K., DU Q., DING J., YAN Q. 2016. Estimating soil heavy metal concentration using hyperspectral data and weighted K-NN method. 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). https://doi.org/10.1109/WHISPERS.2016.8071813.
Crossref   Google Scholar

MARVIN H., GRUBER J. 1990. Regression Estimators. A Comparative Study. Academic Press, Stanford University, California.   Google Scholar

NOWICKI R.K., NOWAK B.A., WOZNIAK M. 2014. Rough k nearest neighbours for classification in the case of missing input data. In: Proceedings of the 9th International Conference on Knowledge, Information and Creativity Support Systems, Limassol, Cyprus, November 6-8, 2014. Ed. G.A. Papadopoulos. University of Cyprus, Nicosia, Cyprus.   Google Scholar

NOWICKI R.K., NOWAK B.A., STARCZEWSKI J.T., CPAŁKA K. 2014. The Learning of Neuro-Fuzzy Approximator with Fuzzy Rough Sets in Case of Missing Features. International Joint Conference on Neural Networks, p. 3759-3766.
Crossref   Google Scholar

POLKOWSKI L., ARTIEMJEW P. 2015. Granular Computing in Decision Approximation. An Application of Rough Mereology. Series: Intelligent Systems Reference Library, 77. https://doi.org/10.1007/978-3-319-12880-1_1.
Crossref   Google Scholar

POLKOWSKI L.T. 2022. What Logics for Computer and Data Sciences, and Artificial Intelligence. Studies in Computational Intelligence (SCI), p. 992.
Crossref   Google Scholar

QI X., GAO Y., LI Y., LI M. 2022. K-nearest Neighbors Regressor for Traffic Prediction of Rental Bikes. 14th International Conference on Computer Research and Development (ICCRD), p. 152-156, https://doi.org/10.1109/ICCRD54409.2022.9730527.
Crossref   Google Scholar

RAJNOHA R., LESNÍKOVÁ P., VAHANČÍK J. 2021. Sustainable economic development: The relation between economic growth and quality of life in V4 and Austria. Economics and Sociology, 14(3): 341-357. https://doi.org/10.14254/2071-789X.2021/14-3/18.
Crossref   Google Scholar

SKIDELSKY E. 2014. What Can We Learn From Happiness Surveys? Journal of Practical Ethics, 2(2): 20-32.   Google Scholar

Download


Published
2023-01-10

Cited by

Samojluk, A., Nowak, B., & Papiernik, K. (2023). Measuring sadness index based on country statistics. Technical Sciences, 25, 193–203. https://doi.org/10.31648/ts.8571

Artur Samojluk 
University of Warmia and Mazury in Olsztyn
Bartosz Nowak 
University of Warmia and Mazury in Olsztyn
Karolina Papiernik 




License

Copyright (c) 2023 Artur Samojluk, Bartosz Nowak

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.





-->