Patent · US Active

Applying a genetic algorithm to compositional semantics sentiment analysis to improve performance and accelerate domain adaptation

US9373075B2 · kind B2 · utility

0Cited by

1References

15Claims

0Family size

Assignee

International Business Machines Corporation · US

Inventors

John P. Bufe, III · Washington, US
Timothy P. Winkler · Meriden, US

Key dates

Filing date	Dec 12, 2013
Grant date	Jun 21, 2016
Priority date	—
Expiry date	Jul 24, 2034

Classification

Technology area (CPC G)Physics
CPC primaryG06N5/022
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A mechanism is provided in a data processing system for applying a genetic algorithm to semantic sentiment analysis. The mechanism provides a sentiment analysis model to a sentiment analysis algorithm. The mechanism trains the sentiment analysis model using a genetic algorithm based on a training corpus of documents with corresponding desired sentiment analysis values for a given domain to form a trained sentiment analysis model. The mechanism performs the sentiment analysis algorithm on an input document using the trained sentiment analysis model to form a domain-specific sentiment analysis result. The mechanism outputs the domain-specific sentiment analysis result.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.