Abstract: Techniques related to a system for news classification comprising one or more non-transitory memory devices and one or more hardware processors configured to execute instructions from the one or more non-transitory memory devices to cause the system to receive an article, the article including text, extract text from the received article, store the extracted text in a database, determine a set of potential target entities based on the extracted text, determine a classification of the article for each potential target entity of the set of potential target entities for a category, valence, presence of litigation, rumor, or opinion based on the extracted text, associate the classification of the article, along with a probability of the determined classification of the article for each potential target entity, assign the classification of the article if the probability of the classification is greater than a threshold probability, and store the classification of the article and the probability.