Determining semantic content of textual clusters
US11651032B2 · kind B2 · utility
4Cited by
49References
20Claims
0Family size
Assignee
Inventor
Key dates
| Filing date | Dec 11, 2019 |
| Grant date | May 16, 2023 |
| Priority date | — |
| Expiry date | Mar 2, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The embodiments herein provide a framework for and specific implementations of machine learning (ML) analysis of incident, online chat, knowledgebase, skills, and perhaps other types of databases. The ML techniques described herein may include various forms of semantic analysis of textual information in these databases, such as clustering, term frequency, word embedding, paragraph embedding, and potentially other techniques. Advantageously, use of ML in the specific ways described herein can provide insights into this textual information that otherwise would be impossible to determine in an accurate or concise fashion.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.