Riko Wijayanto
Analisis Sentimen Berbasis Aspek pada Teks Ulasan Pengguna di Google Play Store = Aspect Based Sentiment Analysis of User`s Review on Google Play Store
Fakultas Ilmu Komputer Universitas Indonesia, 2022
 UI - Tugas Akhir
Jefka Dhammananda
Analisis Sentimen dan Pemodelan Topik Ulasan Aplikasi E-Grocery Menggunakan Algoritma Naive Bayes dan Support Vector Machine: Studi Kasus Data Ulasan Segari di Google Play Store = Sentiment Analysis and Topic Modeling of E-grocery Application Reviews Using Naive Bayes and Support Vector Machine Algorithm: A Case Study of Segari Data Review on Google Play Store
Fakultas Ilmu Komputer Universitas Indonesia, 2023
 UI - Tugas Akhir
Novialdi Ashari
Analisis Sentimen dan Pemodelan Topik Ulasan Pengguna di Google Play Store: Studi Kasus Aplikasi Learn Quran Tajwid = Sentiment Analysis and Topic Modelling of User Reviews on Google Play Store: A Case Study of Learn Quran Tajwid App
Fakultas Ilmu Komputer Universitas Indonesia, 2023
 UI - Tugas Akhir
Syahrul Amrie
Analisis sentimen terhadap layanan imigrasi menggunakan data Twitter, Instagram dan ulasan pada aplikasi M-Paspor di Google play store berbasis pembelajaran mesin = Sentiment analysis on immigration services using data Twitter, Instagram and review application M-paspor on Google play store based on machine learning
Fakultas Ilmu Kompter Universitas Indonesia, 2022
 UI - Tugas Akhir
Lista Kurniawati
Analisis Kinerja Gabungan Metode Representasi Teks BERT dan Metode Clustering DEC untuk Pendeteksian Topik = Performance Analysis of BERT as Text Representation Method and DEC Clustering Method for Topic Detection
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2022
 UI - Skripsi Membership