… feature extraction and feature selection methods together on filtering SMS spam messages
in two different languages, namely Turkish and English. The entire feature … text classification …

… Text Mining and Natural Language Processing problemfor automatic extraction,
classification and summarization of sentiments and emotions expressed in online text [1,2].Sentiment …

… Abstract— In this paper, a feature extraction method based on neural networks for
Vietnamese text classification is developed. The Vietnamese online news documents are initially …

… Researchers show that even only adjectives in a sentence depict very high accuracy for
feature generation resulting useful in text classification. Pang Lee et al. [25] achieved an …

… In 2017, Convolutional Neural Network (CNN) was applied to text classification tasks to
obtain local and global features from news posts [36]. Subsequently, more fusion models are …

… In most natural language tasks using maximum entropy the features are naturally binary
features. In text classification, we expect that features accounting for the number of times a word …

… In this work, we have tested feature extraction techniques for Arabic text classification. The
dataset was grouped physically into six classes to be specific Middle East News, World News, …

… extraction approaches. Domain-specific terms are applied in text classification as the feature
… Experiments show that it achieves better performance than traditional methods for feature …

… features extraction in classifying SMS spam messages at users’ end. Its objective is to study
the discriminatory control of the features … on the subject of spam classification. The discovery …

… In other words, adding correlated features increases feature … a novel method for feature
extraction based on the termsets for … Features to be used in text categorization are defined by …