Chaiwuttisak, Pornpimol
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Item type:Publication, Measuring Efficiency of Thailand’s Football Premier Leagues Using Data Envelopment Analysis(2019-01-01)Football is considered one of the most popular sports in Thailand and has high influence on the nation economy. Thai Premier League is football competition at the top of Thai football league system. The objective of the paper is to evaluate both sportive and financial efficiency of football clubs in Thai Premier League during 2014–2015 football seasons with Data Envelopment Analysis (DEA) model: CCR DEA and super-efficiency DEA. We consider four input factors: the stadium capacity, the capital Investment, the administrative expenses. Nine output variables investigated on the efficiency of football clubs are the number of supportive attendances, the total score in 2015, the total revenues, net assets, the number of trophies, the qualification for AFC for the last and the next season, the qualification for Thai Premier League for the last and the next season. The results show that two football clubs are not efficient. Later, it is found that both football clubs mentioned are relegated to lower league in the next competition 2016/2017. This evidence illustrates that super-efficiency DEA models can be successively to distinguish the efficient clubs and rank the football clubs in Thai Premier League. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Text Mining Analysis of Comments in Thai Language for Depression from Online Social Networks(2021-01-01)The objectives of this research were to analyze the relationship of the phrases or words commonly found in the comments from depression hashtag on Twitter using the association rules. The data used in this study were collected from comments in Thai language via depression hashtag on Twitter during 1 January 2019 to 31 January 2019, in total of 1,500 comments. According to the comments in Thai language on social media collected by using Rapidminer Studio 9 software to get the word about depression and used to analyze relationships of words from a text comment to get the format data Association. The frequency of words and phrases in a form of presentation is used to describe the various opinions about the depression that has a presentation on social media. According to the model performance in each of the above methods, it was found that Euclidean Distance provided the best result due to the smallest average distance at all points in each cluster which was equal to 152.504. The association analysis, a total of 30 association rules were obtained, the support of 0.5% and the 80% confidence.