Sentiment classification using out of domain data
AssigneeMicrosoft Corporation
InventorsXiaochuan Ni, Gang Wang, Jian-Tao Sun, Zheng Chen
Life of this patent
Estimating the term…
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.
Claims20
A method of training a target classifier to categorize textual data, the method comprising:
- matching a trained classifier to the target classifier, the trained classifier sharing at least one common attribute with the target classifier;
- selecting identifiers from the trained classifier, the identifiers being predictors of a sentiment of the textual data as one of a positive opinion or a negative opinion;
- and
- associating the identifiers with the target classifier.
One or more computer-readable media storing computer-executable instructions that, when executed on one or more processors, performs acts comprising:
- selecting a source domain that includes a trained classifier, the source domain being used to assist in training a target classifier of a target domain;
- selecting identifiers from the source domain, the identifiers including domain identifiers, which have sentiment predictive capability of opinion data that is limited to the domain, and common identifiers, which have sentiment predictive capability of opinion data across multiple domains;
- importing the common identifiers to the target domain;
- and
- categorizing opinion data with the target classifier of the target domain using the common identifiers.
A method, comprising:
- selecting a source domain to train a target classifier, the source domain having identifiers that are used to predict the sentiment of opinion data of the source domain;
- populating a target classifier of a target domain with the identifiers from the source domain;
- and
- classifying opinion data of the target domain data using the target classifier by employing the identifiers to determine the sentiment of opinion data of the target domain.
Dependencies are inferred from the claim text.