Inferring opinions based on learned probabilities
US7761287B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 23, 2006 |
| Grant date | Jul 20, 2010 |
| Priority date | — |
| Expiry date | May 20, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0282
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An opinion system infers the opinion of a sentence of a product review based on a probability that the sentence contains certain sequences of parts of speech that are commonly used to express an opinion as indicated by the training data and the probabilities of the training data. When provided with the sentence, the opinion system identifies possible sequences of parts of speech of the sentence that are commonly used to express an opinion and the probability that the sequence is the correct sequence for the sentence. For each sequence, the opinion system then retrieves a probability derived from the training data that the sequence contains an opinion word that expresses an opinion. The opinion system then retrieves a probability from the training data that the opinion words of the sentence are used to express an opinion. The opinion system then combines the probabilities to generate an overall probability that the sentence with that sequence expresses an opinion.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.