We address the problem of sentiment and objectivity classification of product re- views in Chinese. Our approach is distinct- ive in that it treats both positive / negative sentiment and subjectivity / objectivity not as distinct classes but rather as a con- tinuum; we arguethatthis is desirablefrom the perspective of would-be customers who read the reviews. We use novel unsuper- vised techniques, including a one-word 'seed' vocabulary and iterative retraining for sentiment processing, and a criterion of 'sentiment density' for determining the ex- tent to which a document is opinionated. The classifier achieves up to 87% F-meas- ureforsentimentpolaritydetection.

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