Patent ID: 11861552
Assignee: CHENGDU PUHUIDAO SMART ENERGY TECHNOLOGY CO., LTD.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. The method according to claim 4, wherein the word vector training for an address element specifically includes: the Word2vec model belonging to an unsupervised neural network language model, and adopting the Word2vec model in the natural language processing library to perform the word vector training for the training set in the address database; first performing modeling according to a distribution of a current word and a local context of the word to obtain a word vector of the current word; a model used in a training process being a CBOW model, and a training manner being Negative Sampling; and then generating a glossary of address elements of a corpus and a 256-dimensional word vector corresponding to the corpus.