MACHINE LEARNING MODELS FOR ELECTRONIC MESSAGES ANALYSIS

Patent №

US 11,599,720

Granted

2023-03-07

Filed 2020

Owner

ASPIRING MINDS ASSESSMENT PRIVATE LIMITED

Lab

AI components

5

nlp · vision · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16941171

A method may include receiving an electronic message from a sender. The method may further include parsing the electronic message into a set of sections, the set of sections including structured sections and an unstructured section. The method may further include detecting etiquette errors in the structured sections of the electronic message, wherein the etiquette errors include at least one of a missing word, a redundant word, an incorrect usage of a word, a style error, an emotional punctuation error, or a punctuation error. The method may further include generating an etiquette score based on the etiquette errors.

Natural languageVisionSpeechPlanningAI hardwareG06F 40/205G06F 40/253G06F 40/232G06N 5/01G06N 5/046G06N 20/00G06N 20/10G06N 20/20

AI classification

Natural language1.00
AI hardware1.00
Vision0.94
Speech0.88
Planning0.60
Machine learning0.42
Knowledge representation0.02
Evolutionary computation0.00

Ownership

ASPIRING MINDS ASSESSMENT PRIVATE LIMITED

assignment · 538570127

Assignors

AGGARWAL, VARUN, TAKHAR, ROHIT, UNNAM, ABHISHEK

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

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