Title :
The study on keywords frequency composite function of public opinion toward Macau´s gambling industry: Using the Fruit Fly Optimization Algorithm
Author :
Shianghau Wu ; Yongdong Shi
Author_Institution :
Fac. of Manage. & Adm., Macau Univ. of Sci. & Technol., Macau, China
Abstract :
This study at first used the text mining method to analyze the keywords of the Chinese news reports related to Macan´s gambling industry from June to September 2012. The study got 19 major keywords at the first step. In order to comprehend the influence of each keyword in each document, the study applied the Fruit Fly Optimization Algorithm to evaluate the Keywords Frequency Composite Function. The contributions of the study included the following two points: First, the study applied the text mining method to get the 19 major keywords and found the public opinion focus during the time frame. Second, the study found the Fruit Fly Optimization Algorithm as a useful tool to evaluate the Keywords Frequency Composite Function.
Keywords :
data mining; information resources; leisure industry; optimisation; text analysis; Chinese news reports; Macau gambling industry; document; fruit fly optimization algorithm; keyword analysis; keywords frequency composite function; public opinion; text mining method; Algorithm design and analysis; Educational institutions; Government; Industries; Optimization; Text mining; Fruit Fly Optimization Algorithm; gambling industry; public opinion; text mining;
Conference_Titel :
Engineering, Management Science and Innovation (ICEMSI), 2013 International Conference on
Conference_Location :
Taipa
DOI :
10.1109/ICEMSI.2013.6914004