Topic mining based on interactionally defined activity sequences
US11138978B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2019 |
| Grant date | Oct 5, 2021 |
| Priority date | — |
| Expiry date | Mar 31, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/48
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system of automatically identifying topics of a conversation are provided. An electronic data package comprising a sequence of utterances between conversation entities is received by a computing device. Each utterance is classified to a corresponding social action. One or more utterances in the sequence are grouped into a segment based on a deep learning model. A similarity of topics between adjacent segments is determined. Upon determining that the similarity is above a predetermined threshold, the adjacent segments are grouped together. A transcript of the conversation including the grouping of the adjacent segments is stored in a memory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.