The invention belongs to the technical field of network information and relates to a new event theme extraction method. The vectorization representation is carried out on the news event text data setbased on BERT; the context connection is closer; expression ways are more accurate, a bidirectional long-short memory network of an attention mechanism is utilized to learn news texts with large datavolume in the network; to discover new events, efficient and accurate utilization of the data is realized; compared with a single mode, a mode of combining a supervised method and an unsupervised method is more efficient, the method is simple, semantic information can be extracted deeply, news texts in a network can be analyzed and mined, new events can be discovered, real-time mastering of the new events by related supervision departments and personal users is facilitated, and subsequent work is facilitated.
New event theme extraction method