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Sentiment analysis as a tool for assessing the negative impact of tourism on a destination
2021
E3S Web of Conferences
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The authors underline predominance of positive reviews and confirms broader possibilities of the sentiment analysis method in comparison with traditional methods of studying public opinion and the possibility ...
The visitors' reviews of the resort on TripAdvisor were studied using sentiment analysis. ...
evaluation of the attitude of the locals and guests of host destinations towards mega-events [7, 16] . ...
doi:10.1051/e3sconf/202131106008
fatcat:ijbpw2ljjbb4bhjxgh2bnla7di
Perfect ratings with negative comments: Learning from contradictory patient survey responses
2017
Patient Experience Journal
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In order to explore this phenomenon, vendor-supplied in-patient survey data from eleven different hospitals of a major U.S. health care system were utilized. ...
A summary of comments also shows that respondents provide negative comments on issues that are outside the survey domains. ...
Specifically, we started by looking at the distribution of comments by sentiment, as coded by the survey vendor -negative, positive, neutral and mixed comments. ...
doi:10.35680/2372-0247.1234
fatcat:txh2353eurdovjxb3umqayyzde
Residents' Negative Perceptions towards Tourism, Loyalty and Happiness: The Case of Fuengirola, Spain
2019
Sustainability
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The negative perceptions of residents living in Fuengirola (Spain), divided into three dimensions (negative economic impact, negative social impact, and negative environmental impact), according to social ...
is, an increase of loyalty was found to be associated with an increase in happiness. ...
A Likert scale was used to evaluate the degree of agreement or disagreement with the statement on a five-point scale (1 strongly disagree, 2 disagree, 3 neutral, 4 agree, and 5 strongly agree). ...
doi:10.3390/su11236841
fatcat:3hvltualobflnppdflxwplb4zy
Neutrality May Matter: Sentiment Analysis in Reviews of Airbnb, Booking, and Couchsurfing in Brazil and USA
[article]
2020
arXiv
pre-print
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In hosting services of the sharing economy, it is common to have a personal contact between the host and guest, and this may affect users' decision to do negative reviews, as negative reviews can damage ...
, or share access to goods and services. ...
The authors would also like to thank Marcelo Santos and all the volunteers for the valuable help in this study. ...
arXiv:2005.06591v1
fatcat:godzlwd3bfgi5g2jcigiwk6qdi
Analysis on Customer Satisfaction Dimensions in P2P Accommodation using LDA: A Case Study of Airbnb
2018
Proceeding of the Electrical Engineering Computer Science and Informatics
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One of the examples is in the decision-making process about whether they will use specific products or services. ...
People often need other's review or rating about what they are going to use or consume. ...
After obtaining the list of hidden topics using LDA from the review document collection as the opinion targets, we try to classify each topic into positive, negative, or neutral sentiment as the evaluation ...
doi:10.11591/eecsi.v5.1674
fatcat:xfxbmyjnfrdb5j6qlxpz43nir4
Case Study Reports On Positive And Negative Externalities
2015
Zenodo
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Case study reports on positive and negative externalities. Deliverable D3.2 BYTE Project. ...
Specifically, BYTE D2.1 has already indicated that the hosting of data on US soil or by US services means that the data becomes subject to US law, which introduces a vulnerability for people whose records ...
or just as cheap as the national aggregation services or domain aggregation services would do. ...
doi:10.5281/zenodo.166263
fatcat:uwyotu2isvehffvbmb4cwa4caq
What Drives Airbnb Customers' Satisfaction in Amsterdam? A Sentiment Analysis
2021
International Journal of Advanced Computer Science and Applications
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On the other hand, negative online reviews tend to be mainly linked to problems with check-in services followed by aspects related to weak host interaction, location, and room quality. ...
Findings reveal that the polarity of Airbnb guests reviews in Amsterdam is significantly impacted by property price, value, cleanliness, rate, host communication, easiness of check-in, the accuracy of ...
In contrast, the negative sentiments are widely affected by the host being not a super-host. Fig. 6 illustrated that 88.8% of unsatisfied customers were hosted by non-super-hosts. ...
doi:10.14569/ijacsa.2021.0120628
fatcat:ah3htteydbaxnpqxn3clpsoz3i
Exploring Sources of Satisfaction and Dissatisfaction in Airbnb Accommodation Using Unsupervised and Supervised Topic Modeling
2021
Frontiers in Psychology
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Unlike previous LDA based Airbnb studies, this study examines positive and negative Airbnb reviews separately, and results reveal the heterogeneity of satisfaction and dissatisfaction attributes in Airbnb ...
The results of topic distribution analysis show that in different types of Airbnb properties, Airbnb users attach different importance to the same service attributes. ...
Sentiment Analysis in Consumer Research In the business research, sentiment analysis refers to the process of identifying different emotions (positive, negative, and neutral) toward a product or service ...
doi:10.3389/fpsyg.2021.659481
pmid:33967922
pmcid:PMC8096999
fatcat:g7n76aw5org2zoxijjlggiwvvy
Blog, Blogger, and the Firm: Can Negative Employee Posts Lead to Positive Outcomes?
2012
Information systems research
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In contrast to the popular perception, our results reveal a potential positive aspect of negative posts. ...
In particular, we investigate the relationship between negative posts and readership of an employee blog. ...
of the online version at http://dx.doi.org/10.1287/isre.1110.0360. positive, negative, or neutral. ...
doi:10.1287/isre.1110.0360
fatcat:ybzp5fcglvcafdgbgdh27fs4wu
Performance Of Sentimental Analysis By Studying And Mining Social Media Using Parsing Technique
2017
Zenodo
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The opinions and sentiments are extracted from the collected data and it is fairly estimated based on the degree of quality. ...
The principle contribution of this paper is to provide an outline for those who seek to utilize social media scraping and analytics using different software tools either in their analysis or business. ...
Sentiments are evaluated from the extracted social media content, which may either be in positive or negative perspective. ...
doi:10.5281/zenodo.1134257
fatcat:sdvb6tqisrcgpn34522rr7hwge
The political economy of negative emissions technologies: consequences for international policy design
2017
Climate Policy
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This includes in particular robust quantification of removed carbon under international oversight and preventing social and environmental conflicts particularly on land and water use by NETs to ensure ...
of the Paris Agreement. ...
Some terms that have to date been used are relatively neutral (e.g. 'backstop technology') or hopeful (e.g. 'Plan B'), whereas many others are dismissive, derisive or otherwise negative (e.g. ...
doi:10.1080/14693062.2017.1413322
fatcat:rw2zejdjz5funneshes5qeotlu
Service-Aware Interactive Presentation of Items for Decision-Making
2020
Applied Sciences
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feedback aimed at making the user aware of the service properties in all the stages of fruition, focusing on the data that is most relevant to her/him. ...
INTEREST is based on the Service Journey Maps for the design and description of user experience with services. ...
Sentiment Analysis The sentiment analysis step is aimed at identifying the positive, neutral, or negative polarity emerging from review text. ...
doi:10.3390/app10165599
fatcat:nsivsvpoqbb3dgw5lmjgoi2s2e
A MULTI-AGENT BASED SOCIAL CRM FRAMEWORK FOR EXTRACTING AND ANALYSING OPINIONS
2017
Journal of Engineering Science and Technology
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a particular product or service. ...
They increasingly become an important data source for opinion mining and sentiment analysis, thanks to shared comments and reviews about products and services. ...
analysis and allow the use of social OLAP. ...
doaj:5a4932d055824815a08f542010188782
fatcat:3eqanrwd4bgezoboqs7c3s3eva
CITY CHARACTERISTICS THAT ATTRACT AIRBNB TRAVELLERS: EVIDENCE FROM EUROPE
2020
International Journal for Quality Research
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This paper investigates the reviews posted by Airbnb customers in order to assess the customer satisfaction, and to understand the criteria of Airbnb customers in short-term accommodation rentals. ...
Results indicate that Airbnb customers are satisfied with the service they use, and that their choice of short-term accommodation on Airbnb is a multi-criterion decision process. ...
City Number of reviews in the data analysis We also look at the sentiment polarity, meaning how positive, negative and neutral sentiments are dispersed. ...
doi:10.24874/ijqr14.01-17
fatcat:cbkqjg3bxvhevh3a6xsxz6662e
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis
[article]
2022
arXiv
pre-print
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Further evaluation on similar sentiment analysis datasets, SST-2, SST- and OOS intent detection validates the superiority and noise robustness of generative language model in few-shot settings. ...
Sentiment analysis is an important task in natural language processing. ...
positive, host positive, servers positive <|category|> service positive in mi burritoaspect term <|term|> dark chicken negative, microwave taste neutral aspect category <|category|> food negative aspect ...
arXiv:2204.05356v1
fatcat:bhh7upamnvguxoqwce6f3f6raq
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