tmt.2019.267

ANALYSIS OF PUBLIC STANCE ON TOURISM DESTINATIONS IN SREM/SRIJEM REGION

Olivera Grljević
University of Novi Sad, Faculty of Economics in Subotica, Segedinski put 9-11, Subotica, Serbia

Saša Bošnjak
University of Novi Sad, Faculty of Economics in Subotica, Segedinski put 9-11, Subotica, Serbia

Veselin Pavlićević
University of Novi Sad, Faculty of Economics in Subotica, Segedinski put 9-11, Subotica, Serbia

Nataša Pavlović
Turism Organisation of Vojvodina, Bulevar Mihajla Pupina 6/IV, Novi Sad, Serbia

DOI: https://doi.org/10.31410/tmt.2019.267

4th International Thematic Monograph - Modern Management Tools and Economy of Tourism Sector in Present Era, Belgrade, 2019, Published by: Association of Economists and Managers of the Balkans in cooperation with the Faculty of Tourism and Hospitality, Ohrid, North Macedonia; ISSN 2683-5673, ISBN 978-86-80194-29-5; Editors: Vuk Bevanda, associate professor, Faculty of Social Sciences, Belgrade, Serbia; Snežana Štetić, full time professor, The College of Tourism, Belgrade, Serbia, Printed by: SKRIPTA International, Belgrade

Abstract: Online reviews posted on social media are a rich source of the customers’ voice. In this
chapter, online reviews about various tourism destinations and attractions in Srem/Srijem region are
used to analyze public stance and to uncover sources of satisfaction and dissatisfaction of visitors.
Online reviews as unstructured data cannot be directly used for analysis, but require extensive data
transformation and preparation which is done through annotation of data. Annotation is a process
of enrichment of texts with specific meta-data. In presented research during the annotation process,
the dataset, i.e. the corpus of collected reviews was labeled with information on sentiment, aspects,
discourse functions, and information on a function different words have in expressions of opinion,
sentiment or attitude within a review. The authors present their approach to annotation, the evaluation
of the quality of conducted work, as well as the analysis of the resulting dataset, i.e. annotated corpus.

Keywords: Online reviews, User-generated content, Annotation, Corpus development, Corpus analysis,
Srem/Srijem region.

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