Analyzing conversations to automatically identify product feature requests
US10367940B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 22, 2018 |
| Grant date | Jul 30, 2019 |
| Priority date | — |
| Expiry date | Feb 22, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04M2201/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A feedback identification system to automatically determine product feature requests by analyzing conversations of representatives with customers. The feedback identification system retrieves recordings of various conversations, extracts features of the conversations, and analyzes the features to determine a set of features that is indicative of a feature request. A feature request is a request for adding a specified functionality to a product. The set of features is analyzed to generate a feedback manifest, which includes the feature request (a) as a summary of what is discussed in the conversations or (b) verbatim from the conversations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.