Sentiment Analysis On Tripadvisor Travel Agent Using Random Forest, Support Vector Machines, and Naïve Bayes Methods
TripAdvisor faces problems in improving the quality of service on its application, namely the presence of unexpected or non-functional features, which can affect the user experience and reduce trust in the application. This research aims to develop an application capable of performing sentiment an...
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| Main Authors: | Ariq Ammar Fauzi, Anik Vega Vitianingsih, Slamet Kacung, Anastasia Lidya Maukar, Seftin Fiti Ana Wati |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Center for Research and Community Service, Institut Informatika Indonesia Surabaya
2025-03-01
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| Series: | Teknika |
| Subjects: | |
| Online Access: | https://ejournal.ikado.ac.id/index.php/teknika/article/view/1198 |
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