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| Main Author: | |
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| Format: | Recurso digital |
| Language: | Indonesian |
| Published: |
Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15517727 |
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Table of Contents:
- <p>This dataset collection contains Google Reviews from ten tourist destinations located in Central Java, Indonesia, each manually annotated using a rule-based aspect-based sentiment analysis (ABSA) approach. The destinations include both cultural and recreational sites such as temples, mosques, beaches, historical landmarks, and family attractions.</p> <p>Each review has been labeled based on three primary tourism aspects:</p> <ul> <li>Amenities</li> <li>Attractions</li> <li>Accessibility</li> </ul> <p>In addition to the aspect category, each label is also assigned a sentiment polarity: Positive, Negative, or Neutral. This structured sentiment labeling enables detailed analysis of tourist perceptions and supports downstream tasks such as tourism recommender systems, public service evaluation, and sentiment-aware destination ranking.</p> <p>Included Destinations:</p> <ul> <li>Borobudur Temple (borobudur_labeled.xlsx)</li> <li>Kota Lama Semarang (kotalama_labeled.xlsx)</li> <li>Lawang Sewu Museum (lawangsewu_labeled.xlsx)</li> <li>Masjid Agung Demak (masjid agung demak_labeled.xlsx)</li> <li>Owabong Water Park (owabong_labeled.xlsx)</li> <li>Pantai Jatimalang (pantai jatimalang_labeled.xlsx)</li> <li>Pantai Marina (pantai marina_labeled.xlsx)</li> <li>Prambanan Temple (prambanan_labeled.xlsx)</li> <li>Dusun Semilir (semilir_labeled.xlsx)</li> <li>Sunan Kalijaga Tomb (sunan kalijaga_labeled.xlsx)</li> </ul> <p>Columns in Each Dataset File Include:</p> <ul> <li>Author: Reviewer name</li> <li>Author Description: Reviewer level/status on Google</li> <li>Date: Timestamp of review</li> <li>Rating: Star rating (1–5)</li> <li>Review: Original review text</li> <li>Review_clean: Preprocessed text</li> <li>Labels: List of (Aspect, Sentiment) pairs using rule-based classification</li> </ul> <p>Labeling Method:<br>Reviews were labeled using rule-based pattern recognition, combining predefined tourism keywords with polarity detection rules in both Indonesian and English.</p> <p>Intended Use:</p> <ul> <li>This dataset is designed for academic research and development in:</li> <li>Multilingual Aspect-Based Sentiment Analysis (ABSA)</li> <li>Tourism sentiment trend analysis</li> <li>Recommender Systems</li> <li>Smart tourism decision support systems (DSS)</li> </ul>