Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …

Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …

Deep learning--based models have surpassed classical machine learning--based
approaches in various text classification tasks, including sentiment analysis, news …

In recent years, the exponential growth of digital documents has been met by rapid progress
in text classification techniques. Newly proposed machine learning algorithms leverage the …

Deep neural networks have been displaying superior performance over traditional
supervised classifiers in text classification. They learn to extract useful features automatically …

This paper explores a simple and efficient baseline for text classification. Our experiments
show that our fast text classifier fastText is often on par with deep learning classifiers in terms …

We study in this work the importance of depth in convolutional models for text classification,
either when character or word inputs are considered. We show on 5 standard text …

Text classification is a fundamental problem in natural language processing. As a popular
deep learning model, convolutional neural network (CNN) has demonstrated great success …

Text classification is a foundational task in many NLP applications. Traditional text classifiers
often rely on many human-designed features, such as dictionaries, knowledge bases and …

Text classification has always been an increasingly crucial topic in natural language
processing. Traditional text classification methods based on machine learning have many …