MINING PRODUCT ASPECTS FROM OPINION TEXT

Patent №

US 10,282,467

Granted

2019-05-07

Filed 2014

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

3

ml · nlp · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14315378

A text stream having one or more sentences is received, and any number of the one or more sentences are parsed to determine corresponding subject-verb-object (SVO) triples. Each sentence whose corresponding SVO triple contains an identified verb is selected, based on the identified verb, or a lemma of the identified verb, matching a predefined verb. A subject of each selected sentence is identified as an aspect candidate. Each identified aspect candidate is tokenized and normalized. One or more n-grams are generated for each tokenized and normalized aspect candidate. For each generated n-gram, a frequency at which the n-gram is generated is determined. A number of the generated n-grams are selected as aspects based on the frequency with which the number of n-grams are generated.

Machine learningNatural languagePlanningG06F 16/335G06F 16/345G06F 40/211G06F 40/284

AI classification

Natural language1.00
Machine learning0.96
Planning0.61
AI hardware0.30
Knowledge representation0.09
Vision0.07
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 331830123

Assignors

GOU, LIANG, HU, MENGDIE, LI, YUNYAO, YANG, HUAHAI

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

From the same owner

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