The Application of Google Trends to Forecast

10.29428/9789860544169.201801.0114

Kun-Huang Huarng

big data analytics ； search engine ； tourism demand

NCS 2017 全國計算機會議

2017（2018 / 01 / 01）

602 - 607

英文

Due to its popularity, a large amount of data has fluxed into the Internet. Big data analytics has become a hot research topic. One of the interesting research tracks of big data study focuses on 〞search engine data.〞 The application of search engine data to analyze business opportunities and forecast future demands becomes more and more important for both researchers and practitioners. The business intelligence behind the big data creates business opportunities. Meanwhile, Google Trends is a popular target for studying search engine data. Google Trends data are ready and easy to access. A systematic approach to analyze and forecast based on the Google Trends can help various domain problems. Hence, this study intends to proposes a systematic approach to obtain Google Trends search engine data, to explore the usage of the data, and then to forecast. Taiwan tourism demand is used as a study target, where both estimation and forecasting are done by the proposed approach. The forecasting results are compared with the real data from the Tourism Bureau, Taiwan.