Unmasking the Sentiments of Labuan Bajo: An Instagram-based Analysis for Tourism Insights through VADER Sentiment Analysis

Setiawan, Johan and Gousander, Vegeterrikin and Prasetiawan, Iwan (2023) Unmasking the Sentiments of Labuan Bajo: An Instagram-based Analysis for Tourism Insights through VADER Sentiment Analysis. Unmasking the Sentiments of Labuan Bajo: An Instagram-based Analysis for Tourism Insights through VADER Sentiment Analysis, 7 (3). pp. 967-976. ISSN E-ISSN: 2623-064x | P-ISSN: 2580-8737

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Abstract

Labuan Bajo is a renowned premier tourist destination that attracts numerous foreign and local tourists who enthusiastically share their experiences through photos and videos on Instagram. This research aims to explore the feedback received from both local and foreign tourists who have visited Labuan Bajo, as well as identify the most popular tourist destinations in the region. Data for this study was collected from Instagram using the hashtag "labuanbajo". The VADER lexicon-based sentiment analysis method was employed to measure sentiment polarity. Experimental findings revealed an impressive accuracy rate of 72% using the VADER sentiment lexicon method. The research results indicate that Labuan Bajo's tourist destinations predominantly evoke positive sentiment, with 58.55% of the 3,351 collected data points being labeled as positive, totaling 1,962 instances. Popular destinations frequented by tourists include Komodo Island, Padar Island, Pink Beach, Kelor Island, Rinca Island, Kanawa Island, and Waerebo Village.

Item Type: Article
Keywords: Instagram, SentimentAnalysis, Text Mining,VADER Sentiment,Labuan Bajo
Subjects: 000 Computer Science, Information and General Works
000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 001 Knowledge > 001.4 Research
Divisions: Faculty of Engineering & Informatics > Information System
Depositing User: Iwan Prasetiawan (L00552)
Date Deposited: 20 Mar 2024 03:50
Last Modified: 20 Mar 2024 03:50
URI: https://kc.umn.ac.id/id/eprint/29695

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