Aziz, Rizky (2024) ANALISIS SENTIMEN KEPUASAN PENGGUNA APLIKASI OYO MENGGUNAKAN MULTINOMIAL NAIVE BAYES DENGAN SELEKSI FITUR CHI-SQUARE. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
The advancement of information technology and mobile applications has significantly transformed the hospitality industry. However, users often face challenges in choosing accommodations that suit their needs. OYO, as a leading accommodation service provider, is committed to offering superior stay experiences. Therefore, this study aims to analyze user reviews of the OYO app on Google Playstore using Multinomial Naïve Bayes and Chi-Square feature selection to explore the factors affecting user satisfaction. The research steps include data collection, preprocessing, labeling, and data splitting, followed by TF-IDF weighting and Chi-Square feature selection. The results show that the model accuracy increased from 71% to 79% after applying Chi-Square feature selection, indicating an improvement in model evaluation by 7%-10%. This study provides a foundation for further development in enhancing the quality of OYO's services and better understanding user experiences and preferences.
Item Type: | Thesis (Undergraduate) | ||||||||||||
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Subjects: | Q Science > QA Mathematics > QA76.6 Computer Programming | ||||||||||||
Divisions: | Faculty of Computer Science > Departemen of Data Science | ||||||||||||
Depositing User: | Rizky Aziz | ||||||||||||
Date Deposited: | 31 May 2024 02:56 | ||||||||||||
Last Modified: | 31 May 2024 02:56 | ||||||||||||
URI: | https://repository.upnjatim.ac.id/id/eprint/23626 |
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