Automated computer text classification and routing using artificial intelligence transfer learning
US10678830B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2018 |
| Grant date | Jun 9, 2020 |
| Priority date | — |
| Expiry date | Jan 3, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatuses are described for automated computer text classification and routing using artificial intelligence transfer learning. A server trains a word embedding model using one-hot vectors of word pairs from a filtered first corpus of unstructured computer text and a filtered second corpus of unstructured computer text, using an artificial intelligence neural network. The server trains a long short-term memory model using vector matrices that correspond to sentences in the filtered second corpus of unstructured computer text, and labels. The server receives a message, generates a matrix for each sentence in the message by applying the trained word embedding model, generates one or more labels, and a probability for each label, for each sentence in the message by applying the trained long short-term memory model, and routes the message to a second client computing device based upon an assigned label.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.