Automatische Analyse von Text und Bildern in Sozialen Medien zu Naturkatastrophen

An automated system has been developed to classify images and social‑media text about natural disasters using TensorFlow‑based neural networks. Convolutional Neural Networks were trained on a curated dataset of more than 11 000 images and on disaster‑related posts, and the performance of YOLOv8 and EfficientNetV2 models was compared to evaluate accuracy and speed.