Visualizing and Comparing Online Travel Reviews of the Great Walls: A Data Mining Approach

AbstractThis research employs two samples of heritage sites of the Great Wall of China (Ba daling Great Wall and Mu tianyu Great Wall) and their 21000 reviews on TripAdvisor to visualize and induce feature-related comparisons. Word2vec and D3.js are applied for statistical computing and graphing Minimal Spanning Tree (MST) and ThemeRiver. The applications of MST and ThemeRiver are used to delineate outstanding features and clearer feature relationships. In terms of methodology, we applied an innovative research route to combine MST with ThemeRiver to visualize travellers’ online comments. At the same time, the visual results obtained are combined with qualitative analysis to generate valuable, intuitive summaries that can be used for reference in future research. Practically, the results disclose that although both sites are highly enjoyed by tourists, they are significantly different in terms of service, infrastructure and scenery. This article has implications for policymakers and practitioners with regard to making use of online reviews to gather authentic visitor comments on the Great Wall.

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Multimodality and argumentation in online travel reviews

International Review of Pragmatics ◽

10.1163/18773109-01002007 ◽

2018 ◽

Vol 10 (2) ◽

pp. 270-293

Author(s):

Sabrina Mazzali-Lurati ◽

Chiara Pollaroli ◽

Silvia De Ascaniis

Keyword(s):

Communicative Action ◽

Online Reviews ◽

Tourist Attractions ◽

Pragmatic Function ◽

Congruity Theory ◽

Online Travel Reviews ◽

Online Travel

Abstract In this paper we reconstruct the hierarchy of discourse acts that reviewers build in multimodal online reviews for tourist attractions. We aim at showing (1) how reviewers employ different semiotic modes to fulfil the communicative action of tourist recommendation, and (2) the pragmatic function of photographs in the hierarchy of discourse acts. By adopting the framework of Congruity Theory (e.g., Rigotti, 2005; Rocci, 2005), we analyze a sample of positive and negative multimodal reviews of the Great Cathedral and Mosque in Cordoba (Spain) published by tourists on TripAdvisor. We show that the multimodal elements of the reviews fulfil different pragmatic functions within the overall communicative action of providing advice on the tourist site.

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Consumer usage of online travel reviews: Expanding the unified theory of acceptance and use of technology 2 model

Journal Of Vacation Marketing ◽

10.1177/1356766719867386 ◽

2019 ◽

Vol 26 (2) ◽

pp. 149-165 ◽

Cited By ~ 6

Author(s):

Guy Assaker ◽

Rob Hallak ◽

Rania El-Haddad

Keyword(s):

Structural Equation ◽

Online Reviews ◽

Equation Modeling ◽

Unified Theory ◽

Explanatory Variables ◽

Use Of Technology ◽

Online Travel Reviews ◽

Facilitating Conditions ◽

New Variables ◽

Online Travel

The present study examines a comprehensive model of travelers’ use of online travel reviews as a form of user-generated content (UGC) through an expanded unified theory of acceptance and use of technology 2 (UTAUT2) framework. The UTAUT2, which includes Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions, Hedonic Motivation (HM), Price-Saving Orientation, and Habit, within this study incorporates two new variables: Trustworthiness and Homophily. We empirically examine the expanded model on a sample of 200 residents in the United Kingdom. The partial least squares–structural equation modeling analysis revealed that Homophily, PR, and Price-Saving Orientation are the strongest predictors of individual usage intentions’ of UGC. Moreover, the dimension of Habit, operationalized as a subjective measure of impulsive and automatic use of UGC, was found to be the strongest predictor of travelers’ actual UGC usage. This study enhances our understanding of the explanatory variables driving the usage of online reviews (e.g. contrary to prevalent knowledge from previous works, Trustworthiness in the present study was nonsignificant), thus providing far-reaching theoretical and practical recommendations for tourism researchers and practitioners.

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Positive reviews on TripAdvisor: a cross-linguistic study of contemporary digital tourism discourse

10.7764/onomazein.ne7.02 ◽

2020 ◽

Author(s):

Irene Cenni ◽

Patrick Goethals

Keyword(s):

Online Reviews ◽

The Other ◽

Background Information ◽

Positive Polarity ◽

Language Groups ◽

Social Media Platforms ◽

Online Travel Reviews ◽

Modes Of Interaction ◽

Online Travel ◽

The Web

The emergence of the Web 2.0 profoundly changed the tourist experience and its modes of interaction and communication. Among the most pervasive forms of contemporary tourism discourse we find online reviews posted on social media platforms as TripAdvisor. Previous research on online travel reviews focused almost exclusively on negative reviews and mostly considered monolingual English dataset. In the present study we will explore positive reviews and we will add a cross-linguistic analysis comparing reviews written in English, Italian and Dutch. In this contribution, we first explore the move structure of reviews, and then delve into their different linguistic realizations, paying particular attention to potential cross-linguistic similarities and divergences. Our results show that positive reviews are generally formed by four main moves: positive and negative evaluations, offering extra/background information and future-oriented recommendations. These moves represent stable and recurrent features in reviews written in all three languages under examination. Further, also the topics of the reviews display a cross-linguistic tendency towards similarity, with the preferred topics being the accommodation, its services and the staff. The findings also highlight some divergences among the three language groups, especially not on what is said but on how it is said. For instance, in reviews written in Italian we found expressions of thankfulness and congratulations to the staff, while these are practically absent in the other languages. Moreover, we observed that Italian reviewers tend to realize positive evaluations in a more intensified way (e.g. through the use of superlative lexical expressions) while these strategies are used far less frequently in British and Dutch reviews. With this study we seek to contribute to research in the field of (digital) tourism discourse providing one of the first discourse-oriented analyses on reviews of positive polarity. Moreover, performing a comparative analysis, we aim at gaining a deeper insight on the issue of multilingualism within (online) tourism communication.

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

The Gaze Journal of Tourism and Hospitality ◽

10.3126/gaze.v9i0.19720 ◽

2018 ◽

Vol 9 ◽

pp. 43-52 ◽

Cited By ~ 1

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

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The Effects of Environment and Technology on Managerial Roles

Journal of Management ◽

10.1177/014920639402000304 ◽

1994 ◽

Vol 20 (3) ◽

pp. 581-604 ◽

Cited By ~ 16

Author(s):

Barrie Gibbs

Keyword(s):

Future Research ◽

Environmental Complexity ◽

Managerial Work ◽

Two Samples ◽

Managerial Roles

Two samples of managers are used to demonstrate that environmental and technological variables affect the frequency of managerial roles as defined by Mint&erg (1973). Environmental complexity increases the frequency of informational roles while complexity and dynamism increase the frequency of decisional roles. The interpersonal roles are predicted by an interaction between complexity and dynamism. Overall routineness decreases the frequency of all roles. The presence of rules increases the frequency of decisional and interpersonal roles. The findings suggest that environmental dimensions and technology need to be taken into account in future research and future theories of managerial work.

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A landscape-ontology scale MTInSAR deformation monitoring solution for the sustainable conservation of architectural heritage sites

10.5194/egusphere-egu21-1555 ◽

2021 ◽

Author(s):

Hang Xu ◽

FuLong Chen

Keyword(s):

Large Scale ◽

Anthropogenic Activities ◽

Deformation Monitoring ◽

Global Navigation Satellite Systems ◽

Structural Defects ◽

Spatial Density ◽

Architectural Heritage ◽

Heritage Sites ◽

Sustainable Conservation ◽

Great Wall

Architectural heritage is cultural and spiritual symbol of our predecessors with immeasurable historical, artistic, and technological value. However, these heritages are exposed to long-term degradation due to the combination impacts from the natural erosion and anthropogenic activities. Consequently, it is important to establish an effective deformation monitoring system to support the sustainable conservation of those properties. In order to make complementary to conventional geodetic measurements such as global navigation satellite systems (GNSS) and leveling in terms of spatial density, we propose a landscape-ontology scale multi-temporal InSAR (MTInSAR) solution for the preventive deformation monitoring of large-scale architectural heritage sites through the adaption of current MTInSAR approaches. We apply different solutions in Shanhaiguan section of the Great Wall in China and the Angkor Wat in Cambodia based on their onsite characteristics. At the cultural landscape scale, we improve the small baseline subset (SBAS) approach by the induced pseudo-baseline strategy in order to avoid the errors caused by inaccurate external DEM, resulting in a robust deformation estimation in mountainous areas where the architecture heritage of the Great Wall located; at the ontology scale, we integrate the differential SAR tomography (DTomoSAR) with the finite element method (FEM) for the structural instability detection of the Angkor Wat Temple, pinpointing the structural defects from the 3D deformation measurements and simulation. This study demonstrates the capability of adaptive MTInSAR approaches for the preventive monitoring the deformation of large-scale architectural heritage sites.Keywords: Architectural heritage; two-scale; deformation; MTInSAR

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A comparative case study of MTInSAR approaches for deformation monitoring of the cultural landscape of the Shanhaiguan section of the Great Wall

10.21203/rs.3.rs-301999/v1 ◽

2021 ◽

Author(s):

Hang Xu ◽

Fulong Chen ◽

Wei Zhou

Keyword(s):

High Resolution ◽

Linear Structure ◽

Deformation Monitoring ◽

Sar Interferometry ◽

Comparative Case Study ◽

Rock Falls ◽

High Resolution Data ◽

Heritage Sites ◽

Great Wall

Abstract The Great Wall of China is one of the largest architectural heritage sites globally, and its sustainability is a significant concern. However, its large extent and diverse characteristics cause challenges for deformation monitoring. In this study, the Shanhaiguan section of the Great Wall was investigated in a case study to ascertain the damage and potential hazards of the architectural site. Two standard multi-temporal synthetic aperture radar interferometry (MTInSAR) technologies, including persistent scatterer SAR interferometry (PSInSAR) and small baseline subset (SBAS) SAR interferometry, were used for deformation monitoring using high-resolution TerraSAR-X data acquired in 2015–2017. The results of the two MTInSAR approaches revealed the health condition of the Great Wall. The Shanhaiguan section was stable, but local instabilities caused by rock falls were detected in some mountainous areas. In addition, the applicability of PSInSAR and SBAS was evaluated. The performance analysis of the two approaches indicated that a more reliable and adaptable MTInSAR technique needs to be developed for monitoring the Great Wall. This study demonstrates the potential of MTInSAR technology with high-resolution data for the health diagnosis of heritage sites with a linear structure, such as the Great Wall.

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ANALYSIS OF THESIS ADVISING PATTERN IN MASTER PROGRAM ON FACULTY OF AGRICULTURE IPB USING DATA MINING APPROACH

Edulib ◽

10.17509/edulib.v8i2.12321 ◽

2018 ◽

Vol 8 (2) ◽

pp. 194

Author(s):

Lilis Syarifah ◽

Imas Sukaesih Sitanggang ◽

Pudji Muljono

Keyword(s):

Data Mining ◽

Upland Rice ◽

Future Research ◽

Rule Mining ◽

A Holistic and Systematic Assessment of Maintenance Approaches in Heritage Sites

WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL ◽

10.37394/23203.2021.16.29 ◽

2021 ◽

Vol 16 ◽

pp. 335-350

Author(s):

Abobar Al-Sakkaf ◽

Samer El-Zahab ◽

Eslam Mohammed Abdelkader ◽

Ghasan Alfalah

Keyword(s):

Construction Projects ◽

Future Research ◽

Research Attention ◽

Systematic Assessment ◽

Heritage Sites ◽

Advantages And Disadvantages ◽

Research Areas ◽

Heritage Site ◽

Time Period ◽

Ultimate Objective

Maintenance approaches of heritage sites (MAHs) on heritage sites have become essential in both the industry and academia as construction projects grow increasingly complex. With a prime goal of increasing its productivity and safety, MAHs research has witnessed tremendous growth over the past three decades. With the increase in research grows the necessity to monitor the research growth of a research topic to identify its trends and gaps, and hence shed the light on research areas that warrant future research attention, there is a lack of systematic literature analysis in MAHs field. To fill this gap, this paper recruited a mixed-review method of scientometric and systematic reviews of research papers on MAHs published from 1990 to 2020 (as of mid of July). Its ultimate objective is to identify current trends, technologies, and techniques in the field of heritage site maintenance and layout their advantages and disadvantages. Additionally, country contributions are highlighted to identify which countries produce the most effective research in the field. Finally, the most cited articles are identified to highlight important topics in the selected time period. As a result, Journal of Destination Marketing & Management has the highest ranking across the different journals in the area of MAHs based on its number of published articles and their citations. In addition, the publisher Elsevier has the highest number of published articles with 58. Results also demonstrated that the collaboration between Ecuador and Spain accomplished the highest ranking, such that the strength link was estimated to be equal to 3. Moreover, the highest repetitive keywords were indicators with 20 times and cultural heritage cities with 19 times.

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Understanding Workplace Interpersonal Mistreatment in the NZ Military: Structure, Antecedents and Consquences

10.26686/wgtn.16999216.v1 ◽

2021 ◽

Author(s):

◽

Kimberley Eve Ballantyne

Keyword(s):

Structural Equation ◽

Safety Climate ◽

Complex Structure ◽

Health And Safety ◽

Future Research ◽

Plausible Model ◽

Two Samples ◽

Climate And Health ◽

Antecedents And Consequences ◽

Military Structure

This thesis describes the development and testing of a theoretically plausible model of antecedents and consequences of workplace interpersonal mistreatment using archival data (n = 10697) of civilian and military employees. The sample was split into calibration and validation samples. Principle component and confirmatory factor analysis revealed a complex structure for the workplace interpersonal mistreatment construct across three types of behaviour, and across observed and experienced mistreatment. Furthermore, a total of 17 robust factors were identified in the survey, of which a subset of eight factors was used for developing the model of antecedents and consequences of WIM. The model was tested and refined using regression and structural equation modelling in two samples and validated in a third sample. Individual (seniority), workplace (directive leadership, equity and diversity climate, and health and safety climate) and organisational features (aligned-cohesive culture, service culture) all predict mistreatment. Outcomes of mistreatment include stress, organisational commitment, job satisfaction and leaving intentions. The model showed good fit in the validation sample and is therefore likely to generalise to the population. Implications for organisations and recommendations for future research are discussed.

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