ENHANCING TRAINING OF PREDICTIVE CODING SYSTEMS THROUGH USER SELECTED TEXT

Patent №

US 9,058,327

Granted

2015-06-16

Filed 2012

Owner

SYMANTEC CORPORATION

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13474602

An exemplary predictive coding system can be programmed to update a plurality of training documents based on a portion of a training document selected by a user. The predictive coding system generates a machine learning engine based on the updated plurality of training documents. The predictive coding system predicts a classification for one or more remaining documents from the plurality of training documents using the machine learning engine.

AI classification

Natural language1.00
Machine learning1.00
Vision1.00
AI hardware1.00
Planning1.00
Knowledge representation0.86
Speech0.01
Evolutionary computation0.00

Ownership

SYMANTEC CORPORATION

assignment · 282510047

Assignors

LEHRMAN, GARY, RANGAN, VENKAT, WIGGINS, NELSON, DESAI, MALAY

On an employer assignment, the assignors are typically the inventors.

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