Interpreting vague intent modifiers in visual analysis using word co-occurrence and sentiment analysis
US11314786B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2020 |
| Grant date | Apr 26, 2022 |
| Priority date | — |
| Expiry date | Dec 30, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T11/206
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method generates data visualizations. A device receives a first user input to specify a natural language command directed to a data source. The natural language command includes a first keyword that is a gradable adjective that modifies a second keyword in the natural language command. The device identifies a numerical data field, from the data source, whose field name co-occurs with the first keyword in natural language utterances in a predefined stored corpus of natural language utterances, based on quantifying co-occurrence using a co-occurrence metric. The device computes a numerical range for values of the numerical data field based on correlation of sentiment polarity of the first keyword and the field name of the numerical data field. The device then generates a data visualization for the data source, based on filtering rows of data from the data source according to the numerical range for the numerical data field.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.