Table 8. Results comparison with past studies in feature extraction using customer review datasets.
| Studies | Precision | Recall | F-Measure | Remarks |
|---|---|---|---|---|
| This study | 0.91 | 0.88 | 0.89 | 41 pattern-rules |
| Pak & Günal (2022) | NA | NA | 0.70 | NA |
| Tran, Duangsuwan & Wettayaprasit (2021) | 0.89 | 0.76 | 0.81 | 20 pattern-rules |
| Tubishat, Idris & Abushariah (2021) | 0.75 | 0.97 | 0.84 | 126 rules without the optimizer |
| Tubishat, Idris & Abushariah (2021) | 0.92 | 0.93 | 0.92 | 57 rules with optimizer |
| Chauhan & Meena (2020) | 0.88 | 0.85 | 0.86 | Noun based extractions |
| Rana & Cheah (2019) | 0.86 | 0.91 | 0.89 | 10 pattern-rules |
| Asghar et al. (2019) | 0.83 | 0.71 | 0.77 | 10 pattern- rules |
| Rana & Cheah (2017) | 0.87 | 0.92 | 0.89 | 10 pattern-rules |
| Kang & Zhou (2017) | 0.87 | 0.88 | 0.87 | 7 dependency rules with 8 patterns |
| Samha & Li (2016) | 0.83 | 0.87 | 0.77 | 16 dependency rules |
| Liu et al. (2016) | 0.85 | 0.91 | 0.88 | 8 pattern-rules |
| Khan & Jeong (2016) | 0.81 | 0.82 | 0.8 | 9 pattern-rules |
| Maharani, Widyantoro & Khodra (2015) | 0.63 | 0.73 | 0.67 | 24 pattern-rules |
| Khan, Baharudin & Khan (2014) | 0.79 | 0.72 | 0.75 | 16 pattern-rules |
| Htay & Lynn (2013) | 0.73 | 0.86 | 0.79 | 8 pattern-rules |
| Bagheri, Saraee & de Jong (2013) | 0.86 | 0.64 | 0.73 | 4 pattern-rules |
| Qiu et al. (2011) | 0.88 | 0.83 | 0.86 | 4 pattern-rules |
Notes.
Bolded values indicate the results obtained for this study.