3.2 Preprocessing Steps
: Check for live news broadcasts from late November that match that exact duration. 2. Context of the Content shashemel 30 nov live010204 min link
4.2 Content Classification Each segment classified into categories: Talk, Musical Performance, Q&A, Gameplay, Advertisement, Technical Downtime. Model: fine-tuned transformer on multimodal inputs with majority vote ensemble (audio CNN + visual classifier + chat-topic LSTM). Results reveal distinct segment types (talk
Abstract This study analyzes the "shashemel" live stream (identifier live010204) recorded on 30 November. Using multimodal processing of audio–visual content and chat logs, we examine temporal content segments, classify content themes, quantify viewer engagement, and evaluate moderation dynamics. Results reveal distinct segment types (talk, performance, Q&A), peak engagement at minutes 12–18, sentiment shifts correlated with content changes, and moderation actions concentrated during high-engagement intervals. We discuss implications for livestream analytics and propose an open-source pipeline for reproducible analysis. peak engagement at minutes 12–18
A (e.g., Rastafari celebration)?