Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments
Urban and Regional Planning
Volume 4, Issue 4, December 2019, Pages: 162-167
Received: Dec. 11, 2019;
Published: Dec. 12, 2019
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Li Na, Department of Art Design, Nanjing University of Finance and Economics, Nanjing, China
Rural tourism has an increasingly significant impact on the design of homestay. Big date analysis of tourists’ feedback information should improve the environment art design and promote the innovation of homestay, which provides technical support for design decisions. The research obtains user comment information on the tourism service network platform by the help of web page crawl software. Using ROST CM6 software, text analysis was conducted with the big date of user comment. The results show that the semantic network of tourist comments presents a significant hierarchical relationship. The connection between "homestay", "host", "room" and other nodes is significantly higher than other nodes, so they are important nodes in the network. "Homestay" and its connections can be concluded with three theme categories that constitute the overall dimension of tourists' perception of homestay, among which tourists pay more attention to location. "Room" and its connections present rich perceptual colors, showing the delicacy and comprehensiveness of the tourists' physical sensory experience. "Host" and its connections represent the reception service of homelands. "Luggage", "meal" and "attitude" are the key indicators to evaluate the service quality of the host. From the text analysis, the tourist image perception of homestay facilities is composed of two dimensions: material space and reception service. Tourists’ cognition of material space is divided into overall dimension and special dimension. The overall dimension focuses on rational cognition, while the specific dimension focuses on perceptual cognition. The study points out: the homestays presents transition from art design to product design; Constructing the frame of image structure of homestay is the basis of implementing design management; Big data analysis technology can be used to construct image frames and produce design decisions.
Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments, Urban and Regional Planning.
Vol. 4, No. 4,
2019, pp. 162-167.
L. L. Li, Y. Zhang, “Visual Criticism by Looking at Inside Objects and Outside Landscapes of Country Inns,” Zhuangshi, vol. 2019, 4, pp. 22–27.
M. Erlhoff and T. Marshall, Design Dictionary, Perspective on Design Terminology. Wuhan: Huazhong University of Science and Technology Press, 2016, pp. 284.
S. S. Deng, Research on text analysis methods for big data support decision making. Shanghai: Zhongxi Book Company, 2017, pp. 172–177.
D. J. XU and L. ZHANG, “The Application of Text Mining in Social Science Research: Present Situation, Problems and Prospects,” Journal of Science and Society, vol. 2015, 3, pp. 75-89.
C. X. Zhai and S. Massung, Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining. Beijing: China Machine Press, 2019, pp. 142-147.
O. L. Fan, “Evaluation model construction of home stay facility from the perspective of customer perception: based on grounded theory,” Journal of Jiangsu Commercial Forum, vol. 2011, 10, pp. 37–39.
S. Li, X. L. ZHOU, Y. DING and Y. C. WU, “Research on Experience Perception of Mainland Residents to TAIWAN Travel—Text Analysis of 98 travel notes from Mafengwo site,” Journal of Tourism Forum, 2015, 6, pp. 7–20.
Y. X. LIU and S. B. YIN, “Analysis of the Tourist Experience of Family Hotel in Hongcun Village Based on Network Reviews,” Journal of Anhui University of Technology (Social Sciences), 2016, 6, pp. 44-46.
M. FANG, Y. S. XU and Y. ZHANG, “On the Development Strategies of the Linan Home Stay Based on Tourist Destination Image,” Journal of Central South University of Forestry & Technology (Social Sciences), 2016, 2, pp. 50-53.
J. Tong and J. S. Liu, “Study on Perception of Dalian B&B Experience Based on Web Text Ana. lysis,” Journal of Yangling Vocation and Technology College, vol. 2018, 4, pp. 1–6.
Q. ZHANG, H. ZH. SUN, Z. R. LAN and Q. Y. YU, “An Analysis of the Tourist Service Quality of Nanyuanling Guesthouses in Wuyi Mountain Based on Netw,” Journal of Xichang University (Social Science Edition), 2018, 2, pp. 73-76.
Y. Tang and X. B. Feng, “Research on Online Evaluation of Home Stay Service Quality Based on Content Analysis——Taking the Zhenmei Lige Inn in Lugu Lake as an Example,” Journal of Leshan Normal University, 2019, 9, pp. 51-56.
T. T. Shi and Y. Q. Han, “Elements of Guest Experience in Metropolitan B&B-Analysis of Online Comments of Airbnb,” Journal of Pioneering with Science & Technology Monthly, 2019, 6, pp. 39-42.
M. Young, Content Analysis of Communication: Research and Applications. Chongqing: Chongqing University Press, 2014, pp. 262.
S. P. Wang and L. Ling, Study on structural characteristics of industrial symbiotic network. Shanghai: Tongji University Press, 2012, pp. 75.