A Prediction Study on the Localization Policy of Improving the Satisfaction of Chinese Visitors to Japan by Using Matrix Factorization Techniques

2019 ◽  
Vol 7 (6) ◽  
pp. 510-531
Author(s):  
Kaile Zhang ◽  
Kenji Watanabe ◽  
Tomomi Aoyama
Keyword(s):  
Text Mining ◽  
Reference Group ◽  
Service Level ◽  
Tourism Industry ◽  
Food Culture ◽  
Complete Analysis ◽  
Scenic Spot ◽  
Chinese Tourists ◽  
Online Travel Reviews ◽  
One Year

Abstract Against the background of the rapid growth of Chinese tourists to Japan, by observing the changes in the patterns of Chinese visitors to Japan and probing into the insufficiency of researches in the past studies, it is believed that online travel reviews can be used to present the current situation of tourism industry and be of value to provide the basic data for long-term sustainable research after analysis, including how to increase Chinese tourists’ satisfaction continuously and how to promote the service level of related industries. In this study, the unknown information caused by the cultural and regional differences in the reviews of Chinese visitors’ to Japan is taken as the prediction object and the local tourists’ travel comments as a reference group. Then, the factor decomposition technology and text mining technology are applied to predict the standards of services and projects that can meet the characteristics and demands of Chinese tourists. The comments of Chinese and Japanese tourists who stayed at hotels in the Hakone scenic area from May 2018 to April 2019 (time span: one year) are taken as the samples in this study. Thus, the disparity in the purpose of travel between Chinese tourists and Japanese local tourists in this scenic spot can be effectively displayed. Besides, it also clearly points out that due to a lack of understanding of Japanese food culture, Chinese visitors were in urgent need of relevant services and assistance. Therefore, this method will provide guidance for the growth of the local tourism industry and also demonstrate the feasibility of research methods. In the end, a complete analysis and calculation method for online comment text mining is established, which also provides guidance on improving the satisfaction of Chinese visitors to Japan. Besides, this method can also be considered to apply in more tourists with the same cultural background.

TOURIST BUSINESS DEVELOPMENT IN UKRAINE

2019 ◽  
pp. 39-46
Author(s):  
Stefania Mosiuk ◽  
Igor Mosiuk ◽  
Vladimir Mosiuk
Keyword(s):  
National Economy ◽  
Methodological Approach ◽  
Business Development ◽  
Tourism Industry ◽  
The State ◽  
Complete Analysis ◽  
Resource Potential ◽  
The World ◽  
Potential Resource ◽  
Favorable Conditions

The purpose of the article is to analyze and substantiate the development of tourism business in Ukraine as a priority component of the national economy. The methodology of this study is to use analytical, spatial, geographical, cultural and other methods. This methodological approach provided an opportunity to carry out a complete analysis of the state of the tourism industry of the state and to draw some conclusions.The scientific novelty lies in the coverage of the real and potential resource potential for the development of the recreational and tourism sphere in Ukraine, detailing the measures for the country ‘s entry into the world tourist market. Conclusions. Analyzing the state and prospects of tourism business development in Ukraine, it should be noted that this industry is one of the priority areas for improving the economy of the country. Historical, cultural – ethnographic, gastronomic, sanatorium and resort potentials of the country will lead the country into world leaders of the tourism industry when creating favorable conditions for investment and proper marketing.

scholarly journals Scuba Diving Experience and Sustainability: An Assessment of Online Travel Reviews

2018 ◽  
Vol 9 ◽  
pp. 43-52 ◽  
Author(s):  
Peunjodi Naidoo ◽  
Prabha Ramseook-Munhurrun ◽  
Jing Li
Keyword(s):  
Text Analysis ◽  
Physical Environment ◽  
Scuba Diving ◽  
Tourism Industry ◽  
Small Island ◽  
Analysis Software ◽  
Unsupervised Analysis ◽  
Online Travel Reviews ◽  
Tourism And Hospitality ◽  
Online Travel

Scuba diving is a popular activity in small island destinations which is on the rise. However, it is particularly important to preserve the physical environment for small island developing states due to their unique biodiversity and fragile ecosystems. Scuba diving tourism in island destinations is provided mainly by dive operators who are responsible to deliver the scuba diving experience to tourists. However, despite the importance of sustainability for the tourism industry, it is unclear to which extent the marine environment or green issues are important for consumers. Studies are increasingly suggesting that sustainability is an important feature considered by consumers. However, information is sparse regarding the extent to which sustainability is a key component for customers when evaluating the scuba diving experience. In this study, 3109 text reviews from the Trip Advisor website across all 57 listed diving operators in Mauritius were selected for data analysis. Th e present study uses Leximancer, a text analysis software that conducts unsupervised analysis of natural language texts provided in an electronic format.The Gaze: Journal of Tourism and Hospitality Vol.9 2018 p.43-52

scholarly journals Water Conservation Scenic Spots in China: Developing the Tourism Potential of Hydraulic Projects and Water Resources

2018 ◽  
Vol 10 (12) ◽  
pp. 4509 ◽  
Author(s):  
Wei Li ◽  
Bao-Jie He ◽  
Jinda Qi ◽  
Jianwen Dong
Keyword(s):  
Water Conservation ◽  
Land Surface ◽  
Tourism Industry ◽  
Chinese Government ◽  
Surface Erosion ◽  
Cultural Resources ◽  
Balanced Development ◽  
Scenic Spot ◽  
Holistic Understanding ◽  
Tourism Potential

The reservoir-related tourism industry has been developed for leisure purposes since the 1970s and has gained popularity worldwide. To promote reservoir-related tourism in China, the Chinese government launched a “top-down” project titled “Water Conservation Scenic Spot” (WCSS) in 2001. However, because of the lack of reasonable planning, innovative ideas, and effective governance, there are some problems with WCSS constraining its development. To deal with those problems, it is necessary to have a holistic understanding of the WCSS situation. This study analyses the origin, status, opportunities, and challenges of WCSS development in China. The results show a trend of periodic increase in the number of WCSSs between 2001 and 2016, and WCSS development is unbalanced regarding regions and types. Moreover, the main issues for the WCSS include the failure to follow WCSS guidelines in practice, weak awareness of the scientific educational function, monotonous planning and construction, a lack of cultural preservation, insufficient funding, weak marketing, damaging of natural resources, destruction of clusters of animals and plants, land surface erosion, and landscape pollution. These adverse effects can be alleviated by strengthening supervision and fostering balanced development, promoting education and protecting cultural resources, distributing funding and enlarging popularity, controlling the amount of tourism, and avoiding overexpansion. Overall, the findings of this study can encourage the development of WCSSs in the future and are of significance in supporting the reservoir-related tourism industry.

scholarly journals Study on Comprehensive Economic Contribution Caused by Development of the Natural Heritage Scenic Spot——Taking World Heritage Site Danxia Mount as an Example

2017 ◽  
Vol 12 (3) ◽  
pp. 214
Author(s):  
Liu Yi ◽  
Zhang Mengfan
Keyword(s):  
Tourism Development ◽  
World Heritage ◽  
Tourism Industry ◽  
World Heritage Site ◽  
Tree Model ◽  
Spreading Effect ◽  
Natural Heritage ◽  
Heritage Site ◽  
Scenic Spot ◽  
Multiplier Effect

Despite the rising status of tourism industry, most of scenic spots are lack of innovation in tourism developing patterns, and tickets economy still dominate most of the region’s tourism development. Based on this background, this paper taking world heritage site Danxia Mount as an example, using input-output analysis method, introducing the theory of lateral effect, has build structure tree model for multiplier effect of consumption in scenic spot. According to the tree model, multiplier effect of consumption in natural heritage scenic spot include industry spreading effect transmitted by endogenetic route and lateral effect transmitted by exogenous route. On the basis of research results, this paper gives suggestions to government on public tourism resources of scenic spots about how to choose appropriate tourism development pattern and make reasonable price policies of scenic spots.

Analysis of Online Hotel Reviews During the COVID-19 Pandemic Using Topic Modeling

2021 ◽  
pp. 478-494
Author(s):  
Özlem Ergüt
Keyword(s):  
Text Mining ◽  
Service Quality ◽  
Topic Modeling ◽  
Online Reviews ◽  
Current Situation ◽  
Tourism Industry ◽  
Daily Lives ◽  
New Normal ◽  
Tourism Sector ◽  
The World

The world is facing the COVID-19 pandemic that has impacted economies and millions of people worldwide. The fact that COVID-19 is highly contagious from person to person has greatly affected the daily lives of people, and it has also had a devastating effect on many sectors, particularly the tourism industry. In order to mitigate losses for the tourism sector and for it to gain a new dynamism under the current pandemic conditions, monitoring and analyzing online reviews is an important factor for better understanding the needs and desires of customers. The purpose of this study was to determine the main topics in online reviews by foreign guests staying in İstanbul during the pandemic period using text mining techniques. The information obtained as a result of the analysis is important in terms of understanding how to manage the current situation, developing suggestions for solutions, improving service quality, making future decisions, and adapting to the new normal.

Discovering the evolution of Beijing Rail Network in fifty years

2020 ◽  
Vol 34 (21) ◽  
pp. 2050212
Author(s):  
Zijia Wang ◽  
Jingqi Li ◽  
Liping Huang ◽  
Zhigang Yang
Keyword(s):  
Pearson Correlation ◽  
Service Level ◽  
Urban Rail Transit ◽  
Transit Network ◽  
Rail Network ◽  
Topological Evolution ◽  
Topological Network ◽  
Urban Rail ◽  
Subway System ◽  
One Year

Urban rail transit (URT) system plays a significant role in daily commuting. The main features of URT could be abstracted into two kinds of networks, topological network and transit network. The correlation between topological network and transit network could represent the service level of transportation which is also a main focus to some extent. In this study, static analysis based on one year or single analysis based on one aspect are abundant, the main reason of which is the deficiency of the consistent demand data. In this regard, a comprehensive analysis of the evolution and their correlation of the two network are carried out in this work. We first revisit the topological evolution of rail network on the basis of URT network statistic indicators with a fifty-year time span. Then, based on the traditional node-place model, a correctional node-place model between demand spatial distribution and closeness centrality is established. Pearson correlation coefficient is also employed for a precise analysis. Finally, the application of the model and the corresponding analysis on Beijing Subway System (BSS) examine and evaluate the development level and service level of URT system in Beijing, and some solid evidence for relative decision-making is provided.

scholarly journals Implementation of Integrated Bayes Formula and Support Vector Machine for Analysing Airline’s Passengers Review

2020 ◽  
Vol 202 ◽  
pp. 15004
Author(s):  
Aditya Tegar Satria ◽  
Mustafid ◽  
Dinar Mutiara Kusumo Nugraheni
Keyword(s):  
Support Vector Machine ◽  
Information System ◽  
Text Mining ◽  
Input Data ◽  
Tourism Industry ◽  
Support Vector ◽  
Accuracy Score ◽  
Bayes Formula ◽  
Performance Results ◽  
Mining Algorithms

Nowadays, the utilization of Internet of Things (IoT) is commonly used in the tourism industry, including aviation, where passengers of flight services can rate their satisfaction levels towards the product and service they use by writing their reviews in the form of text-based data on many popular websites. These passenger reviews are collections of potential big data and can be analyzed in order to extract meaningful informations. Some text mining algorithms are already in common use, including the Bayes formula and Support Vector Machine methods. This research proposes an implementation of the Bayes and SVM methods where these algorithms will operate independently yet integrated with other modules such as input data, text pre-processing and shows output result concisely in one single information system. The proposed system was successfully delivered 1000 documents of passenger reviews as input data, then after implemented the pre-processing method, the Bayes formula was used to classify the document reviews into 5 categories, including plane condition, flight comfort, staff service, food and entertainment, and price. While simultanously, the positive and negative sentiment contained in the review document was analyzed with SVM method and shows the accuracy score of 83.6% for a training to testing set ratio of 50:50, while 82.75% accuracy for the 60:40 ratio, and 83.3% accuracy for the 70:30 ratio. This research shows that two different text mining algorithms can be implemented simultaneously in a effective and efficient way, while still providing an accurate and satisfying performance results in one integrated information system.

EGG PROCESSING TECHNOLOGY–PROGRESS AND SANITATION PROGRAMS1

1970 ◽  
Vol 33 (2) ◽  
pp. 64-73 ◽  
Author(s):  
Richard H. Forsythe
Keyword(s):  
Raw Materials ◽  
Communicable Disease ◽  
Liquid Product ◽  
Food Preservation ◽  
Processing Technology ◽  
Complete Analysis ◽  
Regulatory Agencies ◽  
Egg Products ◽  
Liquid Products ◽  
One Year

Egg products, the bulk of which are produced in less than 100 plants operating under continuous USDA inspection, are described. Each year in the U. S. approximately $130–$135 million of frozen egg and $53–$55 million of dried egg products are produced. Presently 60% of the egg products are consumed as frozen and/or liquid products. These total about 10% of all the eggs consumed (the rest being used as “shell or table” eggs). The trend toward increased use of egg solids is partially attributable to the ability to complete analysis before incorporating into large batches, which is not possible with defrosted frozen or liquid egg. Specifications and properties of egg products, particularly those of sanitary significance, used to describe purchases for the bakery, confectioners, dry mix and dressing manufacturers, are discussed. Recent progress in processing technology is reviewed. New egg washing concepts utilizing abrasive brushes, acid cleaners, and iodine containing sanitizers have improved the sanitary quality of raw materials being presented for breaking, Advances in mechanical egg breaking permit more rapid handling of liquid product, resulting in significantly reduced bacteria levels. Glucose removed at low temperatures has resulted in lowered bacteria levels in products to be pasteurized. Advances in pasteurization include consideration of equipment and its use, as well as chemical techniques developed to extend the effectiveness of thermal pasteurization. Drying, one of the most time-honored techniques for food preservation, has brought with it the problem of re-contamination from large volumes of air required. Final dry product in-package pasteurization is now possible with dry egg whites and may be extended to other egg products with fumigants or irradiation. The egg industry, through the leadership of its trade organization, Institute of American Poultry Industries, has long recognized the need for “self-certification” and initiated sanitary progress and pasteurization even before the so-called “salmonellae problem” was identified by the Communicable Disease Center Salmonella Surveillance Unit. Recent actions of the regulatory agencies, such as the FDA GMPs, the Public Health Service's proposed ordinance and code regulating the processing of egg and egg products, and Senate File 2116 introduced May 12, 1969 to provide for mandatory inspection of egg products are outlined. The E-3-A program, less than one year old, has gained the support of regulatory agencies, equipment manufacturers, and the egg products industry.

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