Indah Febryana Putri, . (2024) IMPLEMENTASI ALGORITMA NAÏVE BAYES TERHADAP ANALISIS SENTIMEN REVIEW PENGGUNA APLIKASI THREADS, AN INSTAGRAM APP PADA GOOGLE PLAY STORE. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
In the current era of globalization, social media has become one of the most widely used by society. One of them is Threads which is a newcomer to the industry. Threads is a text-based social media platform that allows its users to share thoughts, news and text-based content. With its appearance and services being very similar to X, there are many pros and cons given by users. Therefore, the author wants to conduct research to understand the sentiment of Threads users and provide recommendations to developers to improve the application’s performance and services. A total of 3322 reviews was obtained from the Google Play Store, then labeled positive or negative by 3 annotators, entered the preprocessing stage, and feature extraction using TF-IDF. After the data is clean, sentiment classification is carried out using the Naïve Bayes algorithm with a data division of 80% for training data and 20% for testing data. The results are the performance of the Naïve Bayes classification model produces an accuracy value of 87%. The results of the classification analysis are recommendations for technical improvements and bugs, increasing functionality and user convenience, optimizing content and interactions, as well as improving service and user support. Keywords: Sentiment Analysis, Threads, Naïve Bayes, Google Play Store
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010512053] [Pembimbing 1: Nur Hafifah Matondang] [Pembimbing 2: Bambang Triwahyono] [Penguji 1: Rio Wirawan] [Penguji 2: Zatin Niqotaini] |
| Uncontrolled Keywords: | Sentiment Analysis, Threads, Naïve Bayes, Google Play Store |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | INDAH FEBRYANA PUTRI |
| Date Deposited: | 20 Sep 2024 06:44 |
| Last Modified: | 20 Sep 2024 06:44 |
| URI: | http://repository.upnvj.ac.id/id/eprint/30373 |
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