Performing semantic analyses of user-generated textual and voice content
US10216724B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 7, 2017 |
| Grant date | Feb 26, 2019 |
| Priority date | — |
| Expiry date | Apr 29, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Performing semantic analysis on a user-generated text string includes training a neural network model with a plurality of known text strings to obtain a first distributed vector representation of the known text strings and a second distributed vector representation of a plurality of words in the known text strings, computing a relevance matrix of the first and second distributed representations based on a cosine distance between each of the plurality of words and the plurality of known text strings, and performing a latent dirichlet allocation (LDA) operation using the relevance matrix as an input to obtain a distribution of topics associated with the plurality of known text strings.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.