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US 2016/0098480 A1Published application
Author moderated sentiment classification method and system
AssigneeXerox Corporation
InventorScott Peter Nowson
Life of this patent
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Abstract
This disclosure provides a method, system and computer program product for classifying text according to one of a plurality of sentiments. According to an exemplary method, text is classified using two or more sentiment classifiers which are tuned to distinct author profile traits and the resulting scores are combined using a normalized weighted function to produce a final resulting classification score.
Claims24
A method of performing sentiment classification of text associated with an opinion of an author of the text related to a subject, the method comprising:
- a) receiving a textual representation of an opinion of an author of the textual representation related to a subject;
- b) receiving an author profile including one or more traits associated with the author;
- c) extracting a linguistic feature from the textual representation of the opinion of the author;
- d) processing the extracted linguistic feature with two or more sentiment classifiers, the two or more sentiment classifiers each tuned to a distinct author profile trait, and the two or more sentiment classifiers generating respective sentiment classification scores based on the extracted linguistic features;
- and
- e) processing the respective sentiment classification scores to generate a single resulting sentiment classification score associated with the textual representation of the opinion of the author.
3 more elements
A sentiment classification system comprising:
- a processor and associated memory configured to receive a textual representation of an opinion of an author of the textual representation related to a subject, the processor and associated memory configured to execute instructions to perform a method of sentiment classification of text associated with an opinion of an author of the text related to a subject, the method comprising:
- a) receiving a textual representation of an opinion of an author of the textual representation related to a subject;
- b) receiving an author profile including one or more traits associated with the author;
- c) extracting a linguistic feature from the textual representation of the opinion of the author;
- d) processing the extracted linguistic feature with two or more sentiment classifiers, the two or more sentiment classifiers each tuned to a distinct author profile trait, and the two or more sentiment classifiers generating respective sentiment classification scores based on the extracted linguistic features;
- and
- e) processing the respective sentiment classification scores to generate a single resulting sentiment classification score associated with the textual representation of the opinion of the author.
4 more elements
A computer program product comprising:
- a non-transitory computer-usable data carrier storing instructions that, when executed by a computer, cause the computer to perform a method of performing sentiment classification of text associated with an opinion of an author of the text related to a subject method comprising:
- a) receiving a textual representation of an opinion of an author of the textual representation related to a subject;
- b) receiving an author profile including one or more traits associated with the author;
- c) extracting a linguistic feature from the textual representation of the opinion of the author;
- d) processing the extracted linguistic feature with two or more sentiment classifiers, the two or more sentiment classifiers each tuned to a distinct author profile trait, and the two or more sentiment classifiers generating respective sentiment classification scores based on the extracted linguistic features;
- and
- e) processing the respective sentiment classification scores to generate a single resulting sentiment classification score associated with the textual representation of the opinion of the author.
4 more elements
Dependencies are inferred from the claim text.