Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments

Li Na

doi:doi:10.11648/j.urp.20190404.15

| Peer-Reviewed

Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments

Li Na

Published in Urban and Regional Planning (Volume 4, Issue 4)

Received: 18 November 2019 Published: 12 December 2019

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

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.

Published in	Urban and Regional Planning (Volume 4, Issue 4)
DOI	10.11648/j.urp.20190404.15
Page(s)	162-167
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Multidimensional Image, Rural Homestay Product, Text Analysis, Innovative Design, Decision Support

References

[1]	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.
[2]	M. Erlhoff and T. Marshall, Design Dictionary, Perspective on Design Terminology. Wuhan: Huazhong University of Science and Technology Press, 2016, pp. 284.
[3]	S. S. Deng, Research on text analysis methods for big data support decision making. Shanghai: Zhongxi Book Company, 2017, pp. 172–177.
[4]	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.
[5]	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.
[6]	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.
[7]	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.
[8]	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.
[9]	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.
[10]	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.
[11]	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.
[12]	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.
[13]	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.
[14]	M. Young, Content Analysis of Communication: Research and Applications. Chongqing: Chongqing University Press, 2014, pp. 262.
[15]	S. P. Wang and L. Ling, Study on structural characteristics of industrial symbiotic network. Shanghai: Tongji University Press, 2012, pp. 75.

Cite This Article

Plain Text BibTeX RIS

APA Style

Li Na. (2019). Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments. Urban and Regional Planning, 4(4), 162-167. https://doi.org/10.11648/j.urp.20190404.15

Copy | Download

ACS Style

Li Na. Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments. Urban Reg. Plan. 2019, 4(4), 162-167. doi: 10.11648/j.urp.20190404.15

Copy | Download

AMA Style

Li Na. Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments. Urban Reg Plan. 2019;4(4):162-167. doi: 10.11648/j.urp.20190404.15

Copy | Download

@article{10.11648/j.urp.20190404.15,
  author = {Li Na},
  title = {Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments},
  journal = {Urban and Regional Planning},
  volume = {4},
  number = {4},
  pages = {162-167},
  doi = {10.11648/j.urp.20190404.15},
  url = {https://doi.org/10.11648/j.urp.20190404.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.urp.20190404.15},
  abstract = {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.},
 year = {2019}
}

Copy | Download

TY - JOUR
T1 - Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments
AU - Li Na
Y1 - 2019/12/12
PY - 2019
N1 - https://doi.org/10.11648/j.urp.20190404.15
DO - 10.11648/j.urp.20190404.15
T2 - Urban and Regional Planning
JF - Urban and Regional Planning
JO - Urban and Regional Planning
SP - 162
EP - 167
PB - Science Publishing Group
SN - 2575-1697
UR - https://doi.org/10.11648/j.urp.20190404.15
AB - 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.
VL - 4
IS - 4
ER -

Copy | Download

Author Information

Li Na

Department of Art Design, Nanjing University of Finance and Economics, Nanjing, China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Li Na. (2019). Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments. Urban and Regional Planning, 4(4), 162-167. https://doi.org/10.11648/j.urp.20190404.15

Copy | Download

ACS Style

Li Na. Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments. Urban Reg. Plan. 2019, 4(4), 162-167. doi: 10.11648/j.urp.20190404.15

Copy | Download

AMA Style

Li Na. Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments. Urban Reg Plan. 2019;4(4):162-167. doi: 10.11648/j.urp.20190404.15

Copy | Download

@article{10.11648/j.urp.20190404.15,
  author = {Li Na},
  title = {Information Technology Support for Rural Homestay Product Innovation: Text Analysis Based on User Comments},
  journal = {Urban and Regional Planning},
  volume = {4},
  number = {4},
  pages = {162-167},
  doi = {10.11648/j.urp.20190404.15},
  url = {https://doi.org/10.11648/j.urp.20190404.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.urp.20190404.15},
  abstract = {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.},
 year = {2019}
}

Copy | Download