Invention Grant
- Patent Title: Identifying augmented features based on a bayesian analysis of a text document
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Application No.: US15755823Application Date: 2015-08-27
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Publication No.: US11048934B2Publication Date: 2021-06-29
- Inventor: Sean Blanchflower , Christopher Ogden , John Simon Fothergill
- Applicant: LONGSAND LIMITED
- Applicant Address: GB Cambridge
- Assignee: LONGSAND LIMITED
- Current Assignee: LONGSAND LIMITED
- Current Assignee Address: GB Cambridge
- International Application: PCT/EP2015/069697 WO 20150827
- International Announcement: WO2017/032427 WO 20170302
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00 ; G06F40/20 ; G06F40/258

Abstract:
Identification of augmented features based on a Bayesian analysis of a text document is disclosed. One example is a system including a document processing module, a feature processing module, and a feature generation module. The document processing module receives a text document via a processor. The feature processing module automatically identifies, based on a Bayesian analysis of the text document, a plurality of augmented features in the text document, the plurality of augmented features including at least one of local, sectional, and document-level features of the text document, and extracts, via the processor, the identified plurality of augmented features from the text document. The feature generation module generates, via the processor, a feature representation of the text document based on the extracted plurality of augmented features.
Public/Granted literature
- US20180330202A1 IDENTIFYING AUGMENTED FEATURES BASED ON A BAYESIAN ANALYSIS OF A TEXT DOCUMENT Public/Granted day:2018-11-15
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