Unsupervised aspect extraction from raw data using word embeddings
US10223354B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 4, 2017 |
| Grant date | Mar 5, 2019 |
| Priority date | — |
| Expiry date | May 9, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer-readable storage media for receiving a vocabulary that includes text data that is provided as at least a portion of raw data, the raw data being provided in a computer-readable file, providing word embeddings based on the vocabulary, the word embeddings including word vectors for words included in the vocabulary, clustering word embeddings to provide a plurality of clusters, each cluster representing an aspect inferred from the vocabulary, determining a respective association score between each word in the vocabulary and a respective aspect, and providing a word ranking for each aspect based on the respective association scores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.