2014/2015
Research experience of big data analytics: The tools for government - a case using social network in mining preferences of tourists
Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2014) (pp.312-315). ACM New York, USA
| Author(s) | Luo Peipeng, Paper
Tse Tan Sim, Rita |
|---|---|
| Summary | This research analyzes messages from Sina Weibo and extracts preferences of tourists using data mining tools. The data mining process, presented in this report, illustrates a good approach for the government in mining information and knowledge from the social network. Discovering association rules is one of the most important tasks in data mining. In this report, Apriori algorithm is used to find the association rules among keywords within topics resulting from the Topic Modeling Algorithm - LDA model. The results and further analysis of data collected from the social network can be used to help the government in Macao and Hong Kong to learn more about their tourists for their policy making in support of the tourism industry. |