Jati, Bayu (2020) ANALISIS SENTIMEN PRODUK IPHONE MENGGUNAKAN NAIVE BAYES CLASSIFIER. Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
Smartphone is a device that is commonly used and helps humans in their daily lives starts form communication activity until entertainment. Iphone is one of the biggest company in smartphone industry. Iphone product sentiment analysis is the process of extracting written comments and sentiments about iphone products. Twitter is one of the social media used to write various comments and including comments about iphone products. Comments written on Twitter social media can be used as research object on sentiment analysis and the Naive Bayes Classifier method can be used to help the process of analysis sentiment automatically. Analysis sentiment carried out by the system can help humans to analyze large amounts of comments. The research was conducted using 200 data which consist of 100 positive-sentiment data each, 100 negative-sentiment data, and 100 test data yielding an accuracy of 94%. Keywords: iphone, analysis sentiment, naive bayes classifier.
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 26 Mar 2020 06:39 |
| Last Modified: | 26 Mar 2020 06:39 |
| URI: | http://eprints.uty.ac.id/id/eprint/4875 |
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