SOCIAL MEDIA CONTENT FILTERING FOR EMERGENCY MANAGEMENT

摘要

Various embodiments of the present disclosure relate to a multimodal data classifier, and a method of training the classifier therein, that identifies social network messages about an event and filters the messages to provide a reduced amount of content to assist emergency authorities. For each message identified, the classification model identifies features of the message including an account identity and content of the message. Further, it generates a feature embedding for the message based at least on the account identity and the content of the message, and it submits the feature embeddings as input to a machine learning model to obtain one or more classifications for the message. As a result, the data classifier filters the messages based on the one or more classifications, which provides a prioritized view of the messages based on training criteria.