Audience Responses Toward Digital Film Promotion on Youtube: A Study of Dilan ITB 1997 Trailer Comments

This study analyzes audience responses toward the Dilan ITB 1997 movie trailer on YouTube using IndoBERT sentiment analysis and Latent Dirichlet Allocation (LDA) topic modeling. The research aims to understand audience perceptions regarding character suitability, castins decisions, and audience responses toward digital film promotion. A total of 3,519 YouTube comments were collected through web scraping using Python in Google Colaboratory. The comments were processed through text preprocessing stages and classified into positive, negative, and neutral sentiments using the IndoBERT pretrained model. Furthermore, LDA topic modeling was applied to identify dominant discussion themes. The results indicate that negative sentiment dominated audience responses, mainly related to character suitability, casting decisions, and comparisons between previous and current portrayals of the characters in the movie trailer