RACHMAWAN, DIO FARREL PUTRA (2023) PENERAPAN PARTICLE SWARM OPTIMIZATION PADA MULTINOMIAL NAÏVE BAYES UNTUK ANALISIS SENTIMEN PENILAIAN PELANGGAN HOTEL (Studi Kasus: Favehotel Kusumanegara Yogyakarta). Undergraduate thesis, UNIVERSITAS PEMBANGUNAN NASIONAL "VETERAN" JAWA TIMUR.
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Abstract
Technological developments, particularly in the field of text mining, have had a significant impact on various aspects of everyday life. In recent years, advances in text mining have made major contributions in various fields, such as speech recognition, machine translation, and especially sentiment analysis. Sentiment analysis is widely used in text/comment processing cases, one of the cases is about analysis on a hotel review. There are several methods that can be used in analyzing a sentiment from comments/reviews of a hotel, namely the Naïve Bayes Classifier, one of which is the Multinomial Naïve Bayes method. In addition, in order to improve the results of accuracy required an optimization method. There are many optimization methods that can be applied to algorithms for sentiment analysis cases, one of which is the Particle Swarm Optimization (PSO) method. This study aims to determine the effect of PSO optimization on the Multinomial Naïve Bayes algorithm in the case of sentiment analysis. From the results of optimization and model testing, the highest accuracy was obtained in the Multinomial Naïve Bayes test with PSO optimization as hyperparameter tunning and feature selection of 97%.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
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| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
| Depositing User: | Dio Farrel Putra Rachmawan | ||||||||||||
| Date Deposited: | 25 Jul 2023 07:21 | ||||||||||||
| Last Modified: | 25 Jul 2023 07:21 | ||||||||||||
| URI: | http://repository.upnjatim.ac.id/id/eprint/15493 |
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