Sentence examples for dataset to show from inspiring English sources

The approach is applied to a sentiment analysis dataset to show its efficacy and interpretability.

We conduct experiments and user studies on several public dataset to show how users from different background can benefit from our tools.

We use a richer dataset to show that a scholar's performance should be considered with respect to position in multiple networks.

To support this hypothesis, we use a firm-level dataset to show that foreign acquisitions increased by 91% in East Asia between 1996 and 1998, while intra-national merger activity declined.

Then, the learning model is applied to validate and test with the testing dataset to show the effectiveness of the generated model.

We also use a large NIR hyperspectral dataset to show that the choice of spectral band over the NIR does not have a significant effect on the performance of single-band eigenface methods.

Created by the Centre for Sustainable Energy, it mashes together several very detailed datasets to show heat use at building level.

The algorithm is tested on various synthetic and real datasets to show its effectiveness.

We first conduct in vitro experiments on new and existing gold-standard datasets to show the high quality and coverage of BabelNet.

This resulting solution is further weighted with transition probabilities to make a tradeoff in Stage 3. We obtained experimental results based on two education and university-related datasets to show that the proposed framework can achieve a good tradeoff for contextual relevance in terms of both the average click ratio and implied deviation.

We now extend it to more datasets for Turkish, and also investigate the performance of our method in English datasets to show that our method is language independent.