The present invention belongs to the field of network detection, and specifically to a micro-blog online emergency detection method based on emotion analysis and tagging. The method comprises: by using an emotion classification model emotion wheel, constructing an emotion analysis model - emotion co-occurrence map; by using the emotion analysis model constructed in step (1), performing emotion classification on micro-blogs in a micro blog flow, and detecting an emergency period of the micro-blog flow by using a kleinberg algorithm; extracting micro-blog tags during the emergency period, filtering out a junk tag, and performing word segmentation on remaining tags; forming an initial keyword of an event; and by using the keyword generated in step (3), extracting a word related to the keyword in a micro-blog, to form a final description of the event. According to the method provided by the present invention, the emotion co-occurrence map based on the emotion wheel is constructed, so that the emotion classification is more detailed, emotion is easier to understand and explain, and compared with events based on emotion symbols, detection accuracy is higher.