Sentence examples for manually annotated datasets from inspiring English sources

In "Datasets taken" section, the three manually annotated datasets are described along with their preprocessing.

This paper exploits four machine learning classifiers for sentiment analysis using three manually annotated datasets.

A current bottleneck of state-of-the-art machine learning methods for image segmentation in agriculture, e.g. convolutional neural networks (CNNs), is the requirement of large manually annotated datasets on a per-pixel level.

A manually annotated dataset from http://www.medications.comis used in the training and validation of the HMM based Text Mining system.

A 10-fold cross-validation on the manually annotated dataset yielded on average an F-Score of 0.76 from the HMM Classifier, in comparison to 0.575 from the Baseline classifier.

The performance of the LRSMs in music genre, mood, and multi-label classification is assessed by conducting experiments on seven manually annotated benchmark datasets.

The performance of the LRSMs in music genre, mood, and multi-label classification is assessed by conducting extensive experiments on seven manually annotated benchmark datasets.

The performance of the LRSMs in music genre, mood, and multi-label music classification is assessed by conducting experiments on seven manually annotated benchmark datasets for which the audio files are publicly available.

We hypothesise that a small manually annotated empirical dataset is sufficient for fine-tuning a synthetically bootstrapped CNN.

Moreover, we attempted to evaluate Punias [ 10] and Hooke [ 12] on the manually annotated bR dataset.

On fitting the WLC on the manually annotated bR dataset, Punias achieved 79% precision, 53% recall and 64% F-measure.