System and method for automated hashtag hierarchical ontology generation from social media data
US12367347B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 21, 2022 |
| Grant date | Jul 22, 2025 |
| Priority date | — |
| Expiry date | May 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/279
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media for determining semantic relationships between hashtags in social media messages, particularly for use in generating a hierarchical ontology of hashtags based on co-occurrence frequency and diversity metrics. For example, natural language processing may be performed on a plurality of social media messages to extract hashtags from the social media messages. Co-occurrence frequency counts for at least two hashtags and other hashtags, in addition to an ensemble score based on a combination of one or more diversity metrics, may be determined. A hierarchical ontology may be generated based on the co-occurrence frequency counts and the ensemble scores for the at least two hashtags. Such a hierarchical ontology may group hashtags into communities of common topics that are ordered based on ensemble scores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.