Sentiment classification using out of domain data
First Claim
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1. A method, comprising:
- matching, by a processor, a trained classifier associated with a first domain to a target classifier associated with a second domain, the matching being based at least in part on identifying a common attribute between the trained classifier and the target classifier;
selecting an identifier from the trained classifier, the identifier being a predictor of a sentiment of textual data; and
associating the identifier with the target classifier, the target classifier being configured to categorize the textual data within the second domain using the identifier.
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Abstract
Providing sentiment classification of out of domain data are disclosed herein. In some aspects, a source domain having a trained classifier is matched to a target domain having a target classifier. The trained classifier may include identifiers that may be used to predict the sentiment of opinion data for the source domain. The target classifier may use the identifiers of the trained classifier to determine the sentiment of opinion data for the target domain.
7 Citations
20 Claims
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1. A method, comprising:
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matching, by a processor, a trained classifier associated with a first domain to a target classifier associated with a second domain, the matching being based at least in part on identifying a common attribute between the trained classifier and the target classifier; selecting an identifier from the trained classifier, the identifier being a predictor of a sentiment of textual data; and associating the identifier with the target classifier, the target classifier being configured to categorize the textual data within the second domain using the identifier. - View Dependent Claims (2, 3, 4, 5, 6)
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7. One or more memory devices storing computer-executable instructions that, when executed on one or more processors, performs acts comprising:
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selecting at least two source domains, each source domain including a trained classifier associated therewith, the at least two source domains being used to assist in training a target classifier associated with a target domain; selecting common identifiers from each trained classifier in each of the at least two source domains, the common identifiers having sentiment predictive capability of opinion data across multiple domains; importing the common identifiers from each trained classifier to the target classifier; and categorizing the opinion data with the target classifier within the target domain using the common identifiers. - View Dependent Claims (8, 9, 10, 11, 12, 13)
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14. A method, comprising:
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selecting, by a processor, a trained classifier associated with a source domain to train a target classifier associated with a target domain, the trained classifier comprising identifiers that are used to predict a sentiment of opinion data of the source domain; and populating the target classifier with at least one of the identifiers, the target classifier being configured to classify opinion data of the target domain using the identifiers. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification