NLP-based context-aware log mining for troubleshooting
US11409754B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 11, 2019 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | May 22, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for context-aware data mining of a text document includes receiving a list of words parsed and preprocessed from an input query; computing a related distributed embedding representation for each word in the list of words using a word embedding model of the text document being queried; aggregating the related distributed embedding representations of all words in the list of words to represent the input query with a single embedding, by using one of an average of all the related distributed embedding representations or a maximum of all the related distributed embedding representations; retrieving a ranked list of document segments of N lines that are similar to the aggregated word embedding representation of the query, where N is a positive integer provided by the user; and returning the list of retrieved segments to a user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.