TY - JOUR
T1 - Measuring happiness in large population
AU - Wenas, Annabelle
AU - Sjahputri, Smita
AU - Takwin, Bagus
AU - Primaldhi, Alfindra
AU - Muhamad, Roby
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2016/2/22
Y1 - 2016/2/22
N2 - The ability to know emotional states for large number of people is important, for example, to ensure the effectiveness of public policies. In this study, we propose a measure of happiness that can be used in large scale population that is based on the analysis of Indonesian language lexicons. Here, we incorporate human assessment of Indonesian words, then quantify happiness on large-scale of texts gathered from twitter conversations. We used two psychological constructs to measure happiness: valence and arousal. We found that Indonesian words have tendency towards positive emotions. We also identified several happiness patterns during days of the week, hours of the day, and selected conversation topics.
AB - The ability to know emotional states for large number of people is important, for example, to ensure the effectiveness of public policies. In this study, we propose a measure of happiness that can be used in large scale population that is based on the analysis of Indonesian language lexicons. Here, we incorporate human assessment of Indonesian words, then quantify happiness on large-scale of texts gathered from twitter conversations. We used two psychological constructs to measure happiness: valence and arousal. We found that Indonesian words have tendency towards positive emotions. We also identified several happiness patterns during days of the week, hours of the day, and selected conversation topics.
UR - http://www.scopus.com/inward/record.url?scp=84966335545&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/31/1/012023
DO - 10.1088/1755-1315/31/1/012023
M3 - Conference article
AN - SCOPUS:84966335545
SN - 1755-1307
VL - 31
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012023
T2 - International Seminar on Science of Complex Natural Systems 2015, ISS-CNS 2015
Y2 - 9 October 2015 through 10 October 2015
ER -