METHOD AND SYSTEM FOR EXTRACTING OPINIONS FROM TEXT DOCUMENTS

Patent №

US 8,200,477

Granted

2012-06-12

Filed 2003

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

6

ml · nlp · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10692025

A method and system for extracting opinions about a subject of interest from a text document in which each sentence is analyzed individually to identify the opinions. The most relevant feature terms related to the subject are extracted from the document based on their relevancy scores. Candidate feature terms are definite noun phrases at the beginning of the sentences. For each sentence that refers to the subject or a feature term, the invention determines whether the sentence includes an opinion polarity about the subject or the feature term. The opinion polarity is detected by identifying opinion terms in the sentence using an opinion dictionary or an opinion rule base, parsing the sentence with an English parser to identify grammatical components in the sentence and their relationships, and finding a matching entry in the dictionary or the rule base.

AI classification

Natural language1.00
Speech1.00
Knowledge representation1.00
Machine learning1.00
Planning1.00
AI hardware0.99
Vision0.34
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 146500250

Assignors

YI, JEONGHEE, NASUKAWA, TETSUYA

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

From the same owner

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