Abstract: Self-learning systems process data in real-time and output the processed data to client applications in an effective manner. They comprise a capture platform that captures data and generates a stream of text, a text decoding server that extracts individual words from the stream of text, an entity extractor that identifies entities, a trending engine that outputs trending results, and a live queue broker that filters the trending results. The self-learning systems provide more efficient realization of Boxfish technologies, and provide or work in conjunction with real-time processing, storage, indexing, and delivery of segmented video. Furthermore, the self-learning systems efficiently perform entity relationing by creating entity network graphs, and are operable to identify advertisements from the data.