Sentence examples for approach for text from inspiring English sources

In this paper, we propose an approach for text categorization based on Dissimilarity Representation and multiple classifier systems.

While there has been a long history of rule-based text classifiers, to the best of our knowledge no M-of-N-based approach for text categorization has so far been proposed.

Blogburst (our coverage) appears to be taking the à la carte approach for text content.

Deep neural networks provide an alternative approach for text mining tasks and feature extraction.

The block scheme of the proposed text classification approach is depicted in Figure 1. Figure 1 The block scheme of the proposed approach for text classification.

The proposed method improves the state-of-the-art color reduction approach for text detection by Nikolaou and Papamarkos [14] with additional SWT information [8].

This paper provides an efficient approach for text-independent speaker identification using a fused Mel feature sets and Gaussian Mixture Modeling (GMM).

Similar to the work of Frank et al. [27], Teahan and Harper [47] performed extensive experiments to evaluate the performance of different approaches for text categorization on the standard Reuters-21578 collection.

A large-scale comparison of discriminative and generative classification approaches for text-based retrieval of general audio on the Internet was presented in [9].

The OSCAR system employs a hybrid approach for chemical text mining in chemistry publications [14].

Thus, researchers must determine and implement the best feature engineering approach for each text classification task; however, deep learning allows us to skip this step by extracting and learning high-level features automatically from low-level text representations.