Intent classification using non-correlated features
US11966699B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Jun 17, 2021 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Jul 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/53
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for classifying a language sample intent by receiving a language sample including a set of features, identifying language sample features, determining a tokenization score for the language sample according to the language sample features, eliminating duplicate features according to the tokenization score, determining a term frequency (tf) according to the identified features and the tokenization score, determining an inverse document frequency (idf) according to the identified features and the tokenization score, and generating a term frequency-inverse document frequency (tf-idf) matrix for the identified features.
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