Table 1.
Reviews of the sentiment mining for different categorization schemes and techniques.
Fig 1.
The proposed method.
Table 2.
OHSUMED category descriptions.
Table 3.
Feature descriptions.
Table 4.
TF-IDF parameter descriptions.
Table 5.
Description of PCA outputs.
Table 6.
Classifier parameter settings.
Table 7.
Confusion matrix for sentiment classification.
Table 8.
Properties of the Movie and OHSUMED datasets.
Table 9.
Experimental module (Movie dataset).
Fig 2.
The effect of additional attributes for different modules (Movie dataset).
Table 10.
Comparison of results without dimension reduction (Movie dataset).
Table 11.
Dimension reduction results (Movie dataset).
Table 12.
Experimental module (Ohsumed dataset).
Fig 3.
The effect of additional attributes on the different modules (OHSUMED dataset).
Table 13.
Results of the OHSUMED dataset without dimension reduction.
Table 14.
Results of the OHSUMED dataset with dimension reduction.
Table 15.
The total implementation time of five classifiers (time unit: Second).