[PDF][PDF] Analisis Sentimen pada review Aplikasi Grab di Google Play Store Menggunakan Support Vector Machine
R Wahyudi, G Kusumawardhana, A Purwokerto… - Jurnal …, 2021 - academia.edu
Abstrak Pada Google Play Store, pengguna sering membaca review pengguna lain dan
reputasi aplikasi, sebelum mengunduh sebuah aplikasi. Hal ini membuat analisis review …
reputasi aplikasi, sebelum mengunduh sebuah aplikasi. Hal ini membuat analisis review …
Arabic sentiment analysis of users' opinions of governmental mobile applications
Different types of pandemics that have appeared from time to time have changed many
aspects of daily life. Some governments encourage their citizens to use certain applications …
aspects of daily life. Some governments encourage their citizens to use certain applications …
[PDF][PDF] Perbandingan metode klasifikasi Support Vector Machine dan Naïve Bayes untuk analisis sentimen pada ulasan tekstual di Google Play Store
Akurasi dari classifier diukur menggunakan metode K-fold cross validation yang hasilnya
akan ditabulasikan pada tabel confusion matrix, dengan nilai K= 3. Pada penelitian ini, data …
akan ditabulasikan pada tabel confusion matrix, dengan nilai K= 3. Pada penelitian ini, data …
Android application for analysis review on google playstore using support vector machine method
A Setiawan, VC Mawardi - 2022 5th International Conference …, 2022 - ieeexplore.ieee.org
Nowadays, Google Play Store have more than 2.77 million of mobile applications. Though
there are several other app stores available for Android, none of them compare to the …
there are several other app stores available for Android, none of them compare to the …
Sentiment Analysis of Shopee App Reviews Using Random Forest and Support Vector Machine
During the COVID-19 outbreak, Indonesian marketplaces were significantly impacted
including Shopee app. It is necessary to evaluate the features and services of the Shopee …
including Shopee app. It is necessary to evaluate the features and services of the Shopee …
Sentiment analysis on user satisfaction level of mobile data services using Support Vector Machine (SVM) algorithm
RN Chory, M Nasrun… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Social media today is something that cannot be separated from each person, lik Instagram,
twitter, facebook, path, line and many more. Everyone has at least 2 to 5 social media …
twitter, facebook, path, line and many more. Everyone has at least 2 to 5 social media …
Analisis Sentimen Aplikasi X Pada Google Play Store Menggunakan Algoritma Naïve Bayes Dan Support Vector Machine (SVM)
E Eskiyaturrofikoh, RR Suryono - JIPI (Jurnal …, 2024 - jurnal.stkippgritulungagung.ac.id
Dalam era digital saat ini, Google Play Store telah menjadi salah satu platform terkemuka
bagi pengguna Android untuk mengakses dan mengunduh berbagai aplikasi. Oleh karena …
bagi pengguna Android untuk mengakses dan mengunduh berbagai aplikasi. Oleh karena …
Analisis Sentimen Pada Ulasan Aplikasi Mobile Banking Menggunakan Metode Support Vector Machine dan Lexicon Based Features
Analisis sentimen adalah bidang penelitian dalam text mining yang sangat populer. Ide
dasar dari analisis sentimen adalah menemukan polaritas dari dokumen dan …
dasar dari analisis sentimen adalah menemukan polaritas dari dokumen dan …
Analisis Sentimen Media Sosial Opini Ujian Nasional Berbasis Komputer menggunakan Metoda Naive Bayes
F Priyono, S Kanti, I Dzulfiqar, I Amirulloh, A Alvi… - 2016 - repository.president.ac.id
Ujian Nasional merupakan proses tolak ukur kemampuan hasil belajar siswa dan siswi
selama proses belajar di sekolah, seiring perkembangan zaman, terdapat perubahan pada …
selama proses belajar di sekolah, seiring perkembangan zaman, terdapat perubahan pada …
Arabic Sentiment Analysis Based Machine Learning for Measuring User Satisfaction with Banking Services' Mobile Applications: Comparative Study
Understanding the quality of the application and the user's needs are important tasks in
application development. To understand user requirements to increase application quality …
application development. To understand user requirements to increase application quality …