Context-aware Natural Language Generation with Recurrent Neural Networks
Table 3: Summary of the evaluation data for fake review detection.
['Domain', '#products', '#reviews/rating', 'total']
To further evaluate the effectiveness of the gC2S model for natural language generation, we choose the task of fake review detection, which aims to classify whether the reviews are written by real users or generated by the gC2S model. Real reviews are treated as positive, and fake reviews are treated as negative. For the evaluation data, we randomly select some products which have at least two real reviews for each rating score in the Amazon data and one review for each rating score in the TripAdvisor data. For each real review, a fake review is generated with gC2S according to its contexts.