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Quantification: the view from the natural language generation ...
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Controlled Multilingual Thesauri for Kazakh Industry-Specific Terms
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In: Social Inclusion ; 9 ; 1 ; 35-44 ; Social Inclusion and Multilingualism: The Impact of Linguistic Justice, Economy of Language and Language Policy (2021)
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Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review
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In: Journal of Tourism, Heritage & Services Marketing ; 7 ; 2 ; 16-27 (2021)
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Abstract:
Purpose: Sentiment analysis is built from the information provided through text (reviews) to help understand the social sentiment toward their brand, product, or service. The main purpose of this paper is to draw an overview of the topics and the use of the sentiment analysis approach in tourism research. Methods: The study is a bibliometric analysis (VOSviewer), with a systematic and integrative review. The search occurred in March 2021 (Scopus) applying the search terms "sentiment analysis" and "tourism" in the title, abstract, or keywords, resulting in a final sample of 111 papers. Results: This analysis pointed out that China (35) and the United States (24) are the leading countries studying sentiment analysis with tourism. The first paper using sentiment analysis was published in 2012; there is a growing interest in this topic, presenting qualitative and quantitative approaches. The main results present four clusters to understand this subject. Cluster 1 discusses sentiment analysis and its application in tourism research, searching how online reviews can impact decision-making. Cluster 2 examines the resources used to make sentiment analysis, such as social media. Cluster 3 argues about methodological approaches in sentiment analysis and tourism, such as deep learning and sentiment classification, to understand the user-generated content. Cluster 4 highlights questions relating to the internet and tourism. Implications: The use of sentiment analysis in tourism research shows that government and entrepreneurship can draw and enhance communication strategies, reduce cost, and time, and mainly contribute to the decision-making process and understand consumer behavior.
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Keyword:
20400; 29900; 40200; anthropology; Bewertung; bibliometrics; computational linguistics; Computerlinguistik; consumption behavior; decision making; electronic Media; elektronische Medien; Entscheidungsfindung; evaluation; Freizeitforschung; Freizeitsoziologie; Gastgewerbe; hotel and restaurant trade; integrative review; Interactive; interaktive; Internet; journalism; Journalismus,Verlagswesen; Konsumverhalten; Leisure Research; News media; online media; Online-Medien; publishing; Publizistische Medien; sentiment analysis; social media; Social sciences; sociology; Soziale Medien; Sozialwissenschaften; Soziologie; systematic review; text analysis; Textanalyse; tourism; Tourismus; Vosviewer
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URL: http://nbn-resolving.org/urn:nbn:de:0168-ssoar-75146-7
https://doi.org/10.5281/zenodo.5548426
https://www.ssoar.info/ssoar/handle/document/75146
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Speaker trait characterization in web videos: Uniting speech, language, and facial features
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In: Proceedings of the 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) ; 3647-3651 ; International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) ; 38 (2020)
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Distant Reading in der Zeitgeschichte: Möglichkeiten und Grenzen einer computergestützten Historischen Semantik am Beispiel der DDR-Presse
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In: Zeithistorische Forschungen / Studies in Contemporary History ; 16 ; 1 ; 177-196 (2020)
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Urban Narrative: Computational Linguistic Interpretation of Large Format Public Participation for Urban Infrastructure
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In: Urban Planning ; 5 ; 4 ; 20-32 ; The City of Digital Social Innovators (2020)
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Induktive Kategorienbildung in der Inhaltsanalyse: Kombination automatischer und manueller Verfahren
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In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 20 ; 1 ; 30 (2019)
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Project Description - hermA: Automated modelling of hermeneutic processes
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In: Hamburger Journal für Kulturanthropologie ; 7 ; 119-123 ; {Digital Heritage} (2019)
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Towards a Gold Standard Corpus for Variable Detection and Linking in Social Science Publications
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In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC) ; International Conference on Language Resources and Evaluation (LREC) ; 11 (2018)
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Mining Social Science Publications for Survey Variables
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In: Proceedings of the Second Workshop on NLP and Computational Social Science ; 47-52 (2018)
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The Impact of Name-Matching and Blocking on Author Disambiguation
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In: Proceedings of the 27th ACM Conference on Information and Knowledge Management ; 803-812 ; ACM International Conference on Information and Knowledge Management (CIKM) "From Big Data and Big Information to Big Knowledge" ; 27 (2018)
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Modeling common sense knowledge via scripts ... : Modellierung von Weltwissen mit Skripten ...
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Principles of content analysis for information retrieval systems: an overview
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In: Text analysis and computers ; 1 ; ZUMA-Nachrichten Spezial ; 76-99 ; Text Analysis and Computers Conference (2017)
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Machine-readable text corpora and the linguistic description of languages
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In: Text analysis and computers ; 1 ; ZUMA-Nachrichten Spezial ; 64-75 ; Text Analysis and Computers Conference (2017)
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Modeling common sense knowledge via scripts ; Modellierung von Weltwissen mit Skripten
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Pluricentric languages : automatic identification and linguistic variation ... : Plurizentrische Sprachen : automatische Spracherkennung und linguistische Variation ...
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Language model driven analysis : simplifying text on an individual scale ... : Benutzerzentrierte Modelle - Versuch unbekannte Wörter zu finden ...
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Towards Extending Content Analysis (TECA) - Schlußbericht zu Arbeitspaket 1, Verschriftung
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In: 98/18 ; ZUMA-Technischer Bericht ; 13 (2016)
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Towards Extending Content Analysis (TECA) - Schlußbericht zu den Arbeitspaketen 4 und 6, Umsetzung in SGML-Format
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In: 98/16 ; ZUMA-Technischer Bericht ; 45 (2016)
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Towards Extending Content Analysis (TECA) - Schlußbericht zu Arbeitspaket 2, coderbasierte Textanalyse
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In: 98/19 ; ZUMA-Technischer Bericht ; 31 (2016)
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