パード フィリップ ディーン   PARDO Phillip Dean    所属   立命館アジア太平洋大学  国際経営学部    職種   教授
言語種別	英語
発行・発表の年月	2016/06
形態種別	著書（全編）
標題	Artificial Neural Network Modelling - Application of Artificial Neural Network in Social Media Data Analysis: A Case of Lodging Business in Philadelphia (Chapter 16)
執筆形態	分担
出版社・発行元	SPRINGER INTERNATIONAL PUBLISHING, Switzerland 2016
巻・号・頁	pp.Chapter 16
著者・共著者	Le Quang Thai, William Claster and Phillip Pardo
概要	Artificial Neural Network (ANN) is an area of extensive research. The ANN has been shown to have utility in a wide range of applications. In this chapter, we demonstrate practical applications of ANN in analyzing social media data in order to gain insight into competitive analysis in the field tourism. We have leveraged the use of an ANN architecture in creating a Self-Organizing Map (SOM) to cluster all the textual conversational topics being shared through thousands of management tweets of more than ten upper class hotels in Philadelphia. By doing so, we are able not only to picture the overall strategies being practiced by those hotels, but also to indicate the differences in approaching online media among them through very lucid and informative presentations. We also carry out predictive analysis as an effort to forecast the occupancy rate of luxury and upper upscale group of hotels in Philadelphia by implementing Neural Network based time series analysis with Twitter data and Google Trend as overlay data. As a result, hotel managers can take into account which events in the life of the city will have deepest impact. In short, with the use of ANN and other complementary tools, it becomes possible for hotel and tourism managers to monitor the real-time flow of social media data in order to conduct competitive analysis over very short time frames. Note: S. Shanmuganathan and S. Samarasinghe (eds.), Artificial Neural Network Modelling, Studies in Computational Intelligence 628, DOI 10.1007/978-3-319-28495-8_16
DOI	10.1007/978-3-319-28495-8_16
ISSN	978-3-319-28493-4