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Free Access | Research Article | 18 November 2025
Optimized Sentiment Analysis with PSO-BERT for Generation Z’s Emotional Response to Popular Songs
ICCK Transactions on Swarm and Evolutionary Learning | Volume 1, Issue 2: 32-49, 2025 | DOI: 10.62762/TSEL.2025.125300
Abstract
This study investigates the sentiment polarity (positive, negative, neutral) and specific emotions (joy, sadness, anger, surprise, trust, anticipation, disgust, and fear) expressed by Generation Z in digital platform comments regarding seven female duets with famous male singer. A dataset of 500 digital comments (250 from YouTube, 125 from Twitter, 125 from Instagram) was collected. The sample was then refined to include comments from 100 individuals (50 men, 50 women) affiliated with a private university in Mexico City, ensuring gender balance. Sentiment polarity was classified using a Bidirectional Encoder Representations from Transformers (BERT) model, with its hyperparameters (learning r... More >

Graphical Abstract
Optimized Sentiment Analysis with PSO-BERT for Generation Z’s Emotional Response to Popular Songs