ELECTRONIC MESSAGE TEXT CLASSIFICATION FRAMEWORK SELECTION

Patent №

US 11,615,129

Granted

2023-03-28

Filed 2017

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · kr · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15824840

Electronic message text classification framework selection is described. An incoming electronic message is classified using a current text classification framework. A classification of the electronic message by the current text classification framework is scored. A cost of re-training the current text classification is compared against a cost of switching to a different text classification framework. One of multiple text classification frameworks, which includes the current text classification framework and other text classification frameworks, is selected based on the score of the classification by the current text classification framework and a result of the comparison.

Machine learningNatural languageKnowledge representationEvolutionary computationAI hardwareG06N 20/00G06F 16/35G06F 18/217G06F 18/2411G06F 18/24155G06F 18/24323G06F 18/24765G06N 3/0464+1 more

AI classification

Natural language1.00
Machine learning1.00
AI hardware1.00
Knowledge representation0.99
Evolutionary computation0.86
Vision0.32
Planning0.03
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 442400846

Assignors

FRANCIS, VIJAY, CHEN, DENNIS J., DUNNE, JONATHAN, PENROSE, ANDREW T.

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

From the same owner

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