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Analysis of the Correlation of Tourism on Internet Community ─ Using the Travel Reviews in Taichung City as an Example
Tien-Yin Chou, Shun-Ren Lai, Mei-Ling Yeh, Cheng-Ting Wu

Last modified: 2016-07-25

Abstract


In recent years, with the rise of the two-day weekend travel and tourism industry, but also in rural areas gradually transformed into sightseeing, disaster prevention and agro-based, such as different type of mode of operation, and to promote its rural characteristics through community or network marketing, etc., is also extremely helpful to bring rural development. So then of Rural Development, the sightseeing is a representative index has, along with the widespread use of smart phones, smart devices by the masses can take pictures, time and upload it to the community to share the action, share these things all with the coordinates of points, or unintentionally disclose the geographic location of the message, are the manifestations of the masses feeds, also known as the voluntary space information (Volunteered geographic information, VGI), these data are constantly increasing every day It became a huge data repository.In this study, combined with rural regeneration Soil Conservation Service in the community-wide Taichung, Taiwan utilization of the most common face book (Facebook), to construct a complete VGI large data repository via Facebook API and automated search programs, and rural the spatial location classification, explore punch masses of information, information filtering seized nuclear, punch press and praise the number of special events and statistics. In addition, this study will also make use of semantic analysis (Semantic Analysis) mode for non-structural information VGI, the capture and sightseeing with the connection of keywords to enhance the accuracy and effectiveness of VGI data. This study is hoped that through the establishment of a keyword search and information gathering mode, the filter filter useful and correct spatial information to provide the Government of analysis and resource allocation decisions tourism use.


Keywords


Volunteer geographic information, big data, semantic analysis

References



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