scholarly journals Tourism Analysis Using User-Generated Content: A Case Study of Foreign Tourists Visiting Japan on TripAdvisor

2020 ◽  
Vol 1 (1) ◽  
pp. 57-64
Author(s):  
Suguru Tsujioka ◽  
Kojiro Watanabe ◽  
Akihiro Tsukamoto
Keyword(s):  
Network Analysis ◽  
Social Networking ◽  
Correspondence Analysis ◽  
Text Analysis ◽  
User Generated Content ◽  
Social Networking Services ◽  
Online Travel

In recent years, online travel service platforms such as TripAdvisor have been actively used by tourists. These services include user-generated content, which is vast and difficult to interpret manually. Several previous studies used user-generated content (e.g., social networking services and TripAdvisor) for tourism analysis. Most of these studies did not perform a systematic text analysis. In this study, we propose a method of analyzing this content to understand the characteristics of sightseeing attractions. Specifically, we analyzed the reviews of foreign tourists who visited Japanese sightseeing attractions. The review data were collected from TripAdvisor. First, a correspondence analysis was conducted to understand the similarities between sightseeing attractions. Next, a co-occurrence network analysis was conducted to derive the theme clusters for understanding the characteristics of sightseeing attractions based on the words in the review. Finally, individual analyses were conducted based on the description of the derived themes at each sightseeing attraction. The results of the analyses demonstrate that the proposed method is effective for comprehending the characteristics of each sightseeing attraction. The proposed method is useful when using user-generated content for tourism analysis.

scholarly journals Social Media for Enhancing Civil Society and Disaster Relief: Usage by Local Municipalities in Japan

2015 ◽  
Vol 7 (1) ◽  
pp. 1-22
Author(s):  
Muneo Kaigo ◽  
Leslie Tkach-Kawasaki
Keyword(s):  
Social Media ◽  
Civil Society ◽  
Social Networking ◽  
Civil Society Organizations ◽  
Municipal Governments ◽  
Social Networking Services ◽  
Media Usage ◽  
Local Municipalities ◽  
Local Municipality

This main focus of this article is a case study that analyzes social media usage by a local municipality in Japan, and on the possibilities and problems of complementary communication channels such as social networking services for promoting civil society activities and linking civil society organizations. We examine how in the past, Japanese municipalities have been using social media and social networking services for enhancing civil society and how social networking services are a potential tool that can provide vital information and connect citizens, municipal governments and civil society. This article focuses on the first phase of the Tsukuba Civic Activities Cyber-Square [Tsukuba Shimin Katsudō no Hiroba] on Facebook Experiment in 2012 and how it functioned during and after the May 6, 2012 Tsukuba city tornado disaster for the subsequent relief and support activities during May 2012.

scholarly journals REGIONAL MEDIA AND THEIR FUNCTIONING IN MODERN COMMUNICATION CONDITIONS (a Case Study of the Media of the Republic of Mordovia)

2021 ◽  
Vol 13 (3) ◽  
pp. 118-128
Author(s):  
Kseniya V. Dementieva ◽  
Keyword(s):  
Content Analysis ◽  
Qualitative Analysis ◽  
Social Networking ◽  
Multimedia Presentation ◽  
Web Portals ◽  
Social Networking Service ◽  
Social Networking Services ◽  
The Media ◽  
The Republic

The article analyzes web portals and public pages of regional media, which help the media adapt to modern communication conditions. The material under study is texts published in the five media sources most popular in Mordovia and on their public pages on the VKontakte social networking service. We carried out a content analysis of more than 1,000 media texts and a qualitative analysis of about 500 materials. Basing on that, we ranked the media according to the activity of their subscribers and identified characteristics that allow the media to increase the number of subscribers and promote their activity, such as the expressiveness of materials, the use of various stylistic devices aimed at attracting the attention of the audience. Regional media are successfully using the platforms of all social networking services and messengers, the number of subscribers to each of them is regularly increasing. We have also identified the prospects for the development of regional media: a greater diversity in genres, in stylistic, thematic and multimedia presentation of information, a prompt response to the requests of the audience and subscribers will help to increase the competitiveness in the information market of the region. In conclusion, we offer criteria for the effective presentation of information on public pages and web portals that promotes a response of the audience.

Case Studies Using JavaFX™

2014 ◽  
pp. 227-248
Keyword(s):  
Social Networking ◽  
Case Studies ◽  
Web Applications ◽  
The Internet ◽  
Internet Applications ◽  
Social Networking Services ◽  
Rich Internet Applications ◽  
Java Programming ◽  
Development Tools

JavaFX™ 2.0 is the evolution of the Java programming language as a rich client platform. JavaFX™ platform provides multiple advantages to Java developers and companies that are part of the Java ecosystem, including the ability to leverage existing Java skills and development tools, as well as extending Swing applications, thus providing a migration path towards more modern and flexible User Interface (UI) technologies. This chapter first goes in depth on the JavaFX architecture and describes the benefits of using JavaFX to develop highly interactive Web applications; then, it presents four case studies on the development of JavaFX™-based Rich Internet Applications (RIAs) built on top of popular social networking services. For each case study, reviews of some similar real world implementations publicly available on the Internet are provided.

scholarly journals A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China

2021 ◽  
Vol 13 (9) ◽  
pp. 4720
Author(s):  
Tao Liu ◽  
Ying Zhang ◽  
Huan Zhang ◽  
Xiping Yang
Keyword(s):  
Big Data ◽  
Travel Behavior ◽  
Yunnan Province ◽  
Movement Patterns ◽  
User Generated Content ◽  
Great Opportunity ◽  
Tourist Destinations ◽  
Online Travel Reviews ◽  
Online Travel

Insights into the association rules of destinations can help to understand the possibility of tourists visiting a destination after having traveled from another. These insights are crucial for tourism industries to exploit strategies and travel products and offer improved services. Recently, tourism-related, user-generated content (UGC) big data have provided a great opportunity to investigate the travel behavior of tourists on an unparalleled scale. However, existing analyses of the association of destinations or attractions mainly depend on geo-tagged UGC, and only a few have utilized unstructured textual UGC (e.g., online travel reviews) to understand tourist movement patterns. In this study, we derive the association of destinations from online textual travel reviews. A workflow, which includes collecting data from travel service websites, extracting destination sequences from travel reviews, and identifying the frequent association of destinations, is developed to achieve the goal. A case study of Yunnan Province, China is implemented to verify the proposed workflow. The results show that the popular destinations and association of destinations could be identified in Yunnan, demonstrating that unstructured textual online travel reviews can be used to investigate the frequent movement patterns of tourists. Tourism managers can use the findings to optimize travel products and promote destination management.

scholarly journals Weibo clustering: A new approach utilizing users’ reposting data in social networking services

2014 ◽  
Vol 11 (3) ◽  
pp. 1157-1172 ◽  
Author(s):  
Guangzhi Zhang ◽  
Yunchuan Sun ◽  
Mengling Xu ◽  
Rongfang Bie
Keyword(s):  
Social Networking ◽  
Text Analysis ◽  
Experimental Results ◽  
Data Set ◽  
Social Networking Services ◽  
New Approach ◽  
Traditional Approaches ◽  
Better Than

As one of the most popular Social Networking Services (SNS) in China, Weibo is generating massive contents, relations and users? behavior data. Many challenges exist in how to analyze Weibo data. Most works focus on Weibo clustering and topic classification based on analyzing the text contents only. However, the traditional approaches do not work well because most messages on Weibo are very short Chinese sentences. This paper aims to propose a new approach to cluster the Weibo data by analyzing the users? reposting behavior data besides the text contents. To verify the proposed approach, a data set of users? real behaviors from the actual SNS platform is utilized. Experimental results show that the proposed method works better than previous works which depend on the text analysis only.

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