@inproceedings{6b737c026ae8472ea304b163e7347a1e,
title = "The Relationship Between Sentiments of Social Media and Economic Indicators",
abstract = "Gross National Happiness (GNH) has been a popular issue since King of Bhutan, King Jigme Singye Wangchuck declared in 1972, {\textquoteleft}Gross National Happiness is more important than Gross Domestic Product.{\textquoteright} Since then, GNH is discussed by multiple researchers. Their researches are to determine its accuracy and the representative. Many Countries have announced taking this indicator to be one of the national performance review indexes. In year 2013, Taiwan has considered GNH as one of the performance review indexes. Among 2013 to 2018, Taiwan{\textquoteright}s Happiness scores have been rising. Taiwan is now the happiest country in Asia. Nonetheless, there{\textquoteright}s no research shows that it can actually represent Taiwanese happiness emotion. In order to testify this issue, we took 3600 articles from one of Taiwan most used social media-Gossiping board of PPT, to identify Taiwanese emotion among 2015 to 2017. We used Sentiment Analysis to calculate the monthly sentiment score of the media. In the end, we found that Taiwanese Sentiment scores among social media are rising as well as GNH scores. We used regression analysis to find out which one of GDP growth rate, GNI growth rate, are having significantly positive correlation with social media{\textquoteright}s sentiment scores. We can then use our conclusion to determine that social media{\textquoteright}s sentiment score can probably be one of the leading indicators of Economic indexes.",
keywords = "Economic indicator, Gross national happiness, Sentiment analysis, Social media",
author = "Huang, {Pin Hsuan} and Hsu, {Ping Yu} and Cheng, {Ming Shien} and Huang, {Chen Wan} and Ni Xu",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019 ; Conference date: 19-12-2019 Through 22-12-2019",
year = "2020",
doi = "10.1007/978-3-030-66187-8_7",
language = "???core.languages.en_GB???",
isbn = "9783030661861",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "62--71",
editor = "P. B.R. and Veena Thenkanidiyoor and Rajendra Prasath and Odelu Vanga",
booktitle = "Mining Intelligence and Knowledge Exploration - 7th International Conference, MIKE 2019, Proceedings",
}