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Sentiment Analysis of BRImo Reviews on Google Play Store Using SVM and KNN
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| Published in: | Indonesian Journal of Data and Science |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2025
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| Subjects: | |
| Tags: |
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| _version_ | 1864030189952958467 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Indonesian Journal of Data and Science |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:32220 |
| institution | FRELIP |
| journal_source_facet | Indonesian Journal of Data and Science |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | Sentiment Analysis of BRImo Reviews on Google Play Store Using SVM and KNN Data Mining Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Data Mining Technology & Engineering — Computing Technology & Engineering Data Mining Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Data Mining Technology & Engineering — Computing Technology & Engineering |
| title | Sentiment Analysis of BRImo Reviews on Google Play Store Using SVM and KNN |
| title_auth | Sentiment Analysis of BRImo Reviews on Google Play Store Using SVM and KNN |
| title_full | Sentiment Analysis of BRImo Reviews on Google Play Store Using SVM and KNN |
| title_fullStr | Sentiment Analysis of BRImo Reviews on Google Play Store Using SVM and KNN |
| title_full_unstemmed | Sentiment Analysis of BRImo Reviews on Google Play Store Using SVM and KNN |
| title_short | Sentiment Analysis of BRImo Reviews on Google Play Store Using SVM and KNN |
| title_sort | sentiment analysis of brimo reviews on google play store using svm and knn |
| topic | Data Mining Technology & Engineering — Computing Technology & Engineering |
| url | https://jurnal.yoctobrain.org/index.php/ijodas/article/view/365 |