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

Alireza Alaei; Ying Wang; Vinh Bui; Bela Stantic

doi:10.3390/fi15040150

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

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

Alireza Alaei, Ying Wang, Vinh Bui and Bela Stantic

Future internet, Vol.15(4), 150

19/04/2023

DOI: https://doi.org/10.3390/fi15040150

Appears in Recent Faculty of Science and Engineering Publications

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Abstract

big data analysis

data annotation

data-driven destination management

emotion detection

social media data

target-oriented sentiment analysis

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.

Details

Title: Target-Oriented Data Annotation for Emotion and Sentiment Analysis in Tourism Related Social Media Data
Creators: Alireza Alaei - Southern Cross University
Ying Wang - Hong Kong Polytechnic University
Vinh Bui - Southern Cross University
Bela Stantic - Griffith University
Publication Details: Future internet, Vol.15(4), 150
Publisher: MDPI AG
Identifiers: 991013108312502368
Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Academic Unit: Information Technology; Faculty of Science and Engineering
Language: English
Resource Type: Journal article

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

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Southern Cross University Social media