With the continuous development of the Internet, social media based on short text has
become popular. However, the sparsity and shortness of essays will restrict the accuracy of …

During the last decades, the volume of multimedia content posted in social networks has
grown exponentially and such information is immediately propagated and consumed by a …

Multi-label text classification is an important yet challenging task in natural language
processing. It is more complex than single-label text classification in that the labels tend to …

Purpose Text classification is a widely accepted and adopted technique in organizations to
mine and analyze unstructured and semi-structured data. With advancement of …

Among the broad assortment of Machine Learning approaches, deep learning has recently
attracted attention particularly in the domain of user behavior analysis. The notion to study …

Text Classification is a fundamental and crucial issue in many Natural Language Processing
(NLP) tasks. An effective and efficient representation model is the key to text classification …

In this study, we propose a novel deep-learning architecture that is designed to facilitate
vocabulary acquisition for second-language learners of English. A hybridized model …

Multi-Layer Perceptron (MLP) is a type of feedforward neural network that consists of
multiple layers of interconnected processing units or neurons, and is widely used in various …