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Paper Title (Use Style: Paper Title) 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST 2017) A Survey of the Distribution of Tea in Taiwan by the Well-Known Social Network Chi-Yueh Hsu1, Jong-Shin Chen2*, Kuan-Chuan Tao3 ,Bo-Jun He4, Han Guo Ciang5 Department of Leisure Services Management, Chaoyang University of Technology1,3,4 Wufeng, Taichung 41349, Taiwan, R. O. C. Department of Information and Communication Engineering, Chaoyang University of Technology, Wufeng, Taichung 41349, Taiwan, R.O.C.2, 5 E-mail:[email protected]* Abstract—Taiwan's most exotic and traditional drink, tea, not to tutoring tea farmers and enterprises, and encouraging special only is popular with Taiwanese people, but also foreign markets applications for tea products. “Taiwan Tea Origin Certificate ’’ are crazy about. Varieties and different species of tea gives birth (Table I), protects the uniqueness of Taiwan's tea products and to different flavor, and it develops different business model in rights, and makes it more competitive internationally Taiwan - teahouse, tea restaurant, bubble tea and other (Executive Yuan Committee on Agriculture, 2012; Liu Jiusung, handmade drink shop. The distribution of tea in Taiwan 2013). Following the change of industrial environment and concentrated more in Taipei, Taichung, Kaohsiung, and Tainan. consumption structure, Taiwan has increased the international Surprisingly, distribution in Nantou is ranked fourth, but the popularity of Taiwan tea in the past 20 years to meet the density is less than four cities. Through the big data analysis of diversified needs, in order to promote the sustainable well-known Facebook community network, different view is development of tea industry. provided and results enable to explore the different direction, and guide us to find the key factors. TABLE I. THE ORIGIN OF THE STANDARD CHAPTER DRAWINGS, NAMES Keywords—Tea;Big Data;Social Network;Distribution Status I. INTRODUCTION According to the big data analysis of well-known Facebook community network, Taiwan's traditional drinks-tea check-in Mizuho Tianhe Tea location has 18,793, and the exotic drinks caused by a series of Chiayi Alishan mountain tea drinks brand hot-coffee has 14,149, which could be learned that Taiwan's two major drinks - tea has more checked-in than coffee. Therefore, this study will take tea as the main core of this study. Through the analysis of large-name social network data, we discuss the distribution of tea in Taiwan, facilitate subsequent related research, and at length provide Shanlinsi Tea Sun Moon Lake Black Tea recommendations and the future development of market goals. Tea is one of most traditional Taiwan drink and has the most original flavor. Tea is one of common drink whether in a leisurely time or chatting with friends or family. It is one kind of soup brewed with tea leaves by 3 times, more than just beverages. Wen Mountain Pouchong Tea Beipu Blowing Tea Tea production in Taiwan history has been more than hundred years and it is always one of important economic resources [1]. The current goal is to make Taiwan become famous tea production area in the world. Taiwan has a lot of tea distribution in different counties and cities (Fig.1), including different species like black tea, green tea, tea bags, Ponkan Feng Cha (Oriental Beauty tea), etc., and the most famous Deer Valley Oolong Tea Hehuan Mountain High cold tea Oolong. Traditionally, the tea brand is an intangible asset which extends the concept of brand and applies to the tea products, representing the reputation of the tea products, quality, commitment to the consumer signs (Li Min, 2010). In order to promote the quality of tea products, the overall tea industry is going forward branding. Take the agricultural commission of the Executive Yuan as an example, in addition 978-1-5386-2965-9/17/$31.00 © 2017 IEEE 176 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST 2017) The other is the exploration of a small sample based on ethnography, which uses field investigation to provide a descriptive study of human society. Different from the past, with the science and technology brought about by space-time distance reduction, interviews can be extended to many countries around the world. While the visit is difficult to implement, the researchers have a large number of Skype, e- mail, Facebook and other computer intermediary forms of the potential (Evan, 2014; Humphreys, 2010). According to the above, the following research purposes are proposed: (a) To explore the distribution of tea in Taiwan with large numbers of well-known Facebook community networks. (b) To explore the distribution and intensity of the location of tea as the key words. (c) To explore the use of tea as the key words of praise strength preferences and industrial management direction. (d) Provide future research direction and recommendations through the results of big data studies on the well-known Facebook community network. Fig. 1. Distribution map of tea in Taiwan III. RESEARCH DESIGN II. RESEARCH PURPOSES Big data research and application has become a trend, This study thought that check-in is just a commonly seen and the relevant research and application of big data in human habit, when a member is used to checking in to mark information are also gradually popular and so are innovative the presently location or feel-sharing, which initiates a process survey and analysis tools. Through the Intelligent tool model to communicate and share with strangers – often overlooked by in big data environment, the effective reference data of the other research. How members choose landmark check-in, rational judgment and marketing management of the operator maintain basic contact with friends, and perform their unique or the policy-makers are provided, and the application of big styles during sharing, and so on, are the extension of this study data can be better. The following is a brief description of the to explore the issue and discussion. Therefore, the purpose of development trends in the application of big data in decision- this study is to probe into the distribution and current situation making (Watson, 2015): of the user's check-in and to examine the data presented by the big data, and to provide the future development direction. (a) Rapid action and decision-making: such as Starbucks, rapid response to various social media to adjust their new The current punch-up research is divided into two kinds, push.Out of coffee prices, target retailers change their the first is the Geographic Information Science (GIScience), information about the pregnancy according to their shopping which is based on big data, and through the Open API habits.(Hill, 2012) (application programming interfaces) or other data acquisition, data mining technology, the public social platform data capture, (b) Key conditions Focus: Survey understanding of analysis, (such as Bawa-Cavia, 2010, September; Cheng, Representative industry environment organization decision Caverlee, Lee & Sui, 2011, July; Crandall et al., 2010, October; makers for big data technology transport. With the current Cranshaw, Schwartz, Hong & Sadeh, 2012, May; Noulas, situation, how to build up its unique intelligent cognitive Scellato, Mascolo & Pontil, 2011, July; Roick & Heuser, 2013; mechanism by using big data technology (mechanism of Scellato, Noulas & Mascolo, 2011, August炸. The study of big sense making, CF Weick, 1995) data size-taking takes Foursquare as the research field, yet the According to the results of the study, big data analysis world's most popular check-in platform Facebook is rarely has the following characteristics of 4 V: (a) Data volume documented. This is because Facebook allows only limited (volume) (b) Input and processing speed (velocity) (c) data data to be made and constantly changes programs which make diversity (variety) and (d) authenticity (veracity) these 4 it difficult to study. On the other hand, Foursquare checking-in characteristics. information can be synchronized on Twitter, and Twitter messages are open to access, which makes Twitter as In other words, big data is a collection of data consisting springboard for Foursquare studies. By contrast, Facebook is of large numbers, complex structures, and diverse types of not in sync with Twitter's services, and without alternatives, data. At present, the information processing capability is big data research is far less than Foursquare. While this is a greatly improved, so it can be effectively analyzed and forced choice, ignoring Facebook, the world's biggest social processed for the complex information of time, cost and platform, deviates from the real use of the situation. manpower in the past. 978-1-5386-2965-9/17/$31.00 © 2017 IEEE 177 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST 2017) IV. OBJECT OF STUDY Example:https://graph.facebook.com/search?type=place&center=24.069093, The study will take each of the members of a well- 120.7127943&distance=150&access_token=1368411763*****|k95dZzlRoY known Facebook community network, and discuss their Vqg9I9NF_QxU*****&limit=50 number of tea punch points with the amount of praise, and Fig. 2. A https format of requesting identifications from Facebook server the Facebook founder Mark Zuckerberg, in an article published in his face book on August 28, 2015, mentioned { "we have just passed an important milestone." For the first "data": [ {data of the first place}, { data of the second place }, ..., { data of the nth place } ], time, 1 billion people use Facebook's one-day ". At present, "paging": { Taiwan's monthly active number of Facebook up to 16 "cursors": {...}, million people, has become the world's largest social media "next": "the next url" } use, but also an indispensable tool for people's lives. } Smartphones are becoming more popular, mobile phones Fig. 3. An overview of the responded JSON formatted data from Facebook are becoming more and more numerous, whether it is the server internet, online shopping, listening to music, watching movies, playing games, or community sites, can be used B.
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