Multi-aspect sentiment analysis by collaborative attention allocation
US11010559B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2018 |
| Grant date | May 18, 2021 |
| Priority date | — |
| Expiry date | Oct 15, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method is presented for implementing multi-aspect sentiment analysis by collaborative attention allocation. The method includes extracting a sequence of word vectors from a sentence received from a data stream, feeding the sequence of word vectors to long short-term memory (LSTM) neural networks to generate a sequence of hidden states corresponding to the sequence of word vectors, generating a plurality of aspect embedding vectors for each aspect, employing an attention mechanism to determine attention weight vectors concurrently for all aspects, and outputting predicted sentiments for each aspect of the sentence to a user interface of a computing device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.