Target-Oriented Data Annotation for Emotion and Sentiment Analysis in Tourism Related Social Media Data

Alireza Alaei (), Ying Wang, Vinh Bui and Bela Stantic
Additional contact information
Alireza Alaei: Faculty of Science and Engineering, Gold Coast Campus, Southern Cross University, Gold Coast, QLD 4225, Australia
Ying Wang: School of Hotel and Tourism Management, Hong Kong Polytechnic University, Hong Kong
Vinh Bui: Faculty of Science and Engineering, Gold Coast Campus, Southern Cross University, Gold Coast, QLD 4225, Australia
Bela Stantic: School of Information and Communication Technology, Griffith University, Gold Coast, QLD 4222, Australia

Future Internet, 2023, vol. 15, issue 4, 1-21

Abstract: Social media have been a valuable data source for studying people’s opinions, intentions, and behaviours. Such a data source incorporating advanced big data analysis methods, such as machine-operated emotion and sentiment analysis, will open unprecedented opportunities for innovative data-driven destination monitoring and management. However, a big challenge any machine-operated text analysis method faces is the ambiguity of the natural languages, which may cause an expression to have different meanings in different contexts. In this work, we address the ambiguity challenge by proposing a context-aware dictionary-based target-oriented emotion and sentiment analysis method that incorporates inputs from both humans and machines to introduce an alternative approach to measuring emotions and sentiment in limited tourism-related data. The study makes a methodological contribution by creating a target dictionary specifically for tourism sentiment analysis. To demonstrate the performance of the proposed method, a case of target-oriented emotion and sentiment analysis of posts from Twitter for the Gold Coast of Australia as a tourist destination was considered. The results suggest that Twitter data cover a broad range of destination attributes and can be a valuable source for comprehensive monitoring of tourist experiences at a destination.

Keywords: big data analysis; social media data; target-oriented sentiment analysis; emotion detection; data annotation; data-driven destination management (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1999-5903/15/4/150/pdf (application/pdf)
https://www.mdpi.com/1999-5903/15/4/150/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:15:y:2023:i:4:p:150-:d:1126841

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().