collaborators

7 papers

cs.CL2026

Sentiment Analysis of Indonesian Spotify Reviews Using Machine Learning and BiLSTM

Uliano Wilyam Purba, Andre Hadiman Rotua Parhusip, Sahid Maulana +3

This paper benchmarks classical machine learning and deep learning approaches for three-class sentiment classification of Indonesian Spotify reviews. Using 100,000 scraped reviews…

cs.CL2026

A Comparison of Traditional Machine Learning Algorithms and LSTM-Based Deep Learning Models for Email Sentiment Analysis

Virdio Samuel Saragih, Baruna Abirawa, Kartini Lovian Simbolon +3

The rapid growth of electronic communication has necessitated more robust systems for email classification and sentiment detection. This study presents a comparative performance an…

cs.CL2026

Benchmarking Logistic Regression, SVM, Naive Bayes, and IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian Product Reviews

Nabila Zakiyah Zahra, Salwa Farhanatussaidah, Nasywa Nur Afifah +3

The exponential growth of e-commerce platforms in Indonesia has generated a massive volume of user-generated product reviews. Analyzing the sentiment of these reviews is critical f…

cs.CL2026

Sentiment Analysis of AI Adoption in Indonesian Higher Education Using Machine Learning and Transformer-Based Models

Happy Syahrul Ramadhan, Ahmad Sahidin Akbar, Karin Yehezkiel Sinaga +3

This study analyzes Indonesian student opinions on the adoption of artificial intelligence in higher education using two approaches: TF-IDF-based machine learning and Transformer-b…

cs.CL2026

Benchmarking PyCaret AutoML Against BiLSTM for Fine-Grained Emotion Classification: A Comparative Study on 20-Class Emotion Detection

Arya Muda Siregar, Arielva Simon Siahaan, Haikal Fransisko Simbolon +3

Fine-grained emotion classification, which identifies specific emotional states such as happiness, anger, sadness, and fear, remains a challenging task in natural language processi…

cs.CL2026

Benchmarking Logistic Regression, SVM, and LightGBM Against BiLSTM with Attention for Sentiment Analysis on Indonesian Product Reviews

Razin Hafid Hamdi, Ivana Margareth Hutabarat, Hanna Gresia Sinaga +3

Sentiment analysis of product reviews on e-commerce platforms plays a critical role in automatically understanding customer satisfaction and providing actionable insights for selle…