Perbandingan Metode Klasifikasi Support Vector Machine dan Naïve Bayes untuk Analisis Sentimen pada Ulasan Tekstual di Google Play Store
In this research, the performance of SVM classification method will be compared with other classification methods, by using the Naïve Bayes classification method. Naïve Bayes classification method is a light classification method and has a high accuracy if applied to the text classification accordin...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Fakultas Ilmu Komputer UMI
2020-08-01
|
| Series: | Ilkom Jurnal Ilmiah |
| Subjects: | |
| Online Access: | http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/597 |
| _version_ | 1830178817872756736 |
|---|---|
| author | Lutfi Budi Ilmawan Muhammad Aliyazid Mude |
| author_facet | Lutfi Budi Ilmawan Muhammad Aliyazid Mude |
| author_sort | Lutfi Budi Ilmawan |
| collection | DOAJ |
| description | In this research, the performance of SVM classification method will be compared with other classification methods, by using the Naïve Bayes classification method. Naïve Bayes classification method is a light classification method and has a high accuracy if applied to the text classification according to some previous studies. The accuracy of the classifier is measured using the K-fold cross validation method whose results will be tabulated in a confusion matrix table, with a value of K = 3. In this study, the data processed are textual reviews of applications in the Indonesian language Google Play Store obtained from previous research. The test results obtained from the 3-fold cross-validation method produce that SVM Classifier has a higher value of accuracy when compared with the accuracy of the Naïve Bayes classifier, the SVM classifier gets an accuracy of 81.46% and Naïve Bayes classifier by 75.41%. |
| first_indexed | 2024-12-17T19:49:12Z |
| format | Article |
| id | doaj.art-57aa2cf814ac42878b8745118c991523 |
| institution | Directory Open Access Journal |
| issn | 2087-1716 2548-7779 |
| language | English |
| last_indexed | 2024-12-17T19:49:12Z |
| publishDate | 2020-08-01 |
| publisher | Fakultas Ilmu Komputer UMI |
| record_format | Article |
| series | Ilkom Jurnal Ilmiah |
| spelling | doaj.art-57aa2cf814ac42878b8745118c9915232022-12-21T21:34:47ZengFakultas Ilmu Komputer UMIIlkom Jurnal Ilmiah2087-17162548-77792020-08-0112215416110.33096/ilkom.v12i2.597.154-161212Perbandingan Metode Klasifikasi Support Vector Machine dan Naïve Bayes untuk Analisis Sentimen pada Ulasan Tekstual di Google Play StoreLutfi Budi Ilmawan0Muhammad Aliyazid Mude1Universitas Muslim IndonesiaUniversitas Muslim IndonesiaIn this research, the performance of SVM classification method will be compared with other classification methods, by using the Naïve Bayes classification method. Naïve Bayes classification method is a light classification method and has a high accuracy if applied to the text classification according to some previous studies. The accuracy of the classifier is measured using the K-fold cross validation method whose results will be tabulated in a confusion matrix table, with a value of K = 3. In this study, the data processed are textual reviews of applications in the Indonesian language Google Play Store obtained from previous research. The test results obtained from the 3-fold cross-validation method produce that SVM Classifier has a higher value of accuracy when compared with the accuracy of the Naïve Bayes classifier, the SVM classifier gets an accuracy of 81.46% and Naïve Bayes classifier by 75.41%.http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/597classificationsentiment analysissupport vector machinenaïve bayescross-validation |
| spellingShingle | Lutfi Budi Ilmawan Muhammad Aliyazid Mude Perbandingan Metode Klasifikasi Support Vector Machine dan Naïve Bayes untuk Analisis Sentimen pada Ulasan Tekstual di Google Play Store Ilkom Jurnal Ilmiah classification sentiment analysis support vector machine naïve bayes cross-validation |
| title | Perbandingan Metode Klasifikasi Support Vector Machine dan Naïve Bayes untuk Analisis Sentimen pada Ulasan Tekstual di Google Play Store |
| title_full | Perbandingan Metode Klasifikasi Support Vector Machine dan Naïve Bayes untuk Analisis Sentimen pada Ulasan Tekstual di Google Play Store |
| title_fullStr | Perbandingan Metode Klasifikasi Support Vector Machine dan Naïve Bayes untuk Analisis Sentimen pada Ulasan Tekstual di Google Play Store |
| title_full_unstemmed | Perbandingan Metode Klasifikasi Support Vector Machine dan Naïve Bayes untuk Analisis Sentimen pada Ulasan Tekstual di Google Play Store |
| title_short | Perbandingan Metode Klasifikasi Support Vector Machine dan Naïve Bayes untuk Analisis Sentimen pada Ulasan Tekstual di Google Play Store |
| title_sort | perbandingan metode klasifikasi support vector machine dan naive bayes untuk analisis sentimen pada ulasan tekstual di google play store |
| topic | classification sentiment analysis support vector machine naïve bayes cross-validation |
| url | http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/597 |
| work_keys_str_mv | AT lutfibudiilmawan perbandinganmetodeklasifikasisupportvectormachinedannaivebayesuntukanalisissentimenpadaulasantekstualdigoogleplaystore AT muhammadaliyazidmude perbandinganmetodeklasifikasisupportvectormachinedannaivebayesuntukanalisissentimenpadaulasantekstualdigoogleplaystore |