FEROM: Feature Extraction and Refinement for Opinion Mining

Opinion mining involves the analysis of customer opinions using product reviews and provides meaningful information including the polarity of the opinions. In opinion mining, feature extraction is important since the customers do not normally express their product opinions holistically, but separately according to its individual features. However, previous research on feature-based opinion mining has not had good results due to drawbacks, such as selecting a feature considering only syntactical grammar information or treating features with similar meanings as different.

Provided by: ETRI Journal Topic: Big Data Date Added: Oct 2011 Format: PDF

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