Research Article
Enhancing Business Intelligence by Means of Suggestive Reviews
Table 2
Performance numbers on LR over all feature construction approaches for detecting comparative reviews.
| Feature construction | Precision | Recall | |
| Bow | 0.7297 | 0.6658 | 0.6907 | Bow + Cmp | 0.8298 | 0.7013 | 0.7523 | Bow + Sug | 0.7983 | 0.65 | 0.7124 | Bow + Cmp + Sug | 0.7821 | 0.6961 | 0.731 | Sug + Per | 0 | 0 | 0 | Mix | 0.7611 | 0.7132 | 0.7302 | Bow + Per | 0.8175 | 0.6842 | 0.7409 | Mix + Per | 0.7861 | 0.6789 | 0.724 | Mix + Per + Sug | 0.7347 | 0.6947 | 0.7092 | Mix + Sug + Cmp | 0.7377 | 0.6816 | 0.7047 | Mix + Sug + Cmp + Per | 0.7551 | 0.6618 | 0.7003 |
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