System, method and apparatus for automatic topic relevant content filtering from social media text streams using weak supervision
US10467537B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 8, 2015 |
| Grant date | Nov 5, 2019 |
| Priority date | — |
| Expiry date | Feb 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Presented are a system, method, and apparatus for automatic topic relevant content filtering from social media text streams using weak supervision. A computing device utilizes heuristic rules allowing topic filtering and a data stream data chunk identifier. A plurality of messages are transmitted as streaming message data from a social media network in real-time. The messages are split into a plurality of data stream data chunks according to the data stream data chunk identifier. A rule-based labeled data set L0 is built from one or more data instances in the first stream data chunk. An initial classifier is built based upon features of L0. The initial classifier is applied to a next data stream data chunk to build a labeled data set L1. A subset of representative instances S1 is selected from labeled data set L1. A first representative classifier C1 is constructed from representative instance S1.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.