Sentence examples for review dataset from inspiring English sources

Their method achieves an accuracy of 92.7% for the movie review dataset.

Also, the best results for each review dataset are given in bold-face.

Fig. 1 Detailed results of feature sizes for the Turkish electronic review dataset.

As observed in Table 2, our new method QER is the best performer for each review dataset.

The Turkish product review dataset is collected from an e-commerce website (http://www.hepsiburada.com) from different domains [28].

For the Turkish movie review dataset, the best classification result of 82.58% is obtained with the SVM classifier [30].

Over the benchmark customer review datasets, experiment results demonstrate the effectiveness of the proposed approach in opinion target recognition in comparison with other baseline methods.

We use Turkish and English review datasets in our experiments.

DFD does reasonably well across all review datasets, but it tends to favour bigger feature sizes.

We have grouped collected review datasets into reviews by the recommended review group (non-spam) and reviews by the fake review group (filtered).

Also compared with the Turkish review datasets, DFD is not as good as CHI2 and IG for the English review datasets, even though the performance is close for the kitchen reviews and generally better than OCFS.