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

Text classification is of importance in natural language processing, as the massive text
information containing huge amounts of value needs to be classified into different categories …

In this contemporaneous world, it is an obligation for any organization working with
documents to end up with the insipid task of classifying truckload of documents, which is the …

Text categorization is an effective activity that can be accomplished using a variety of
classification algorithms. In machine learning, the classifier is built by learning the features of …

Text classification is an important task in natural language processing with wide
applications. Traditional text classification methods manually extract the features which are …

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

Over the last decade Deep learning-based models surpasses classical machine learning
models in a variety of text classification tasks. The primary challenge with text classification …

The TextCNN model is widely used in text classification tasks. It has become a comparative
advantage model due to its small number of parameters, low calculation, and fast training …

Text classification is the process of discriminating predetermined text into a certain class or
some certain classes. Text categorization has important applications in redundant filtering …

With the rapid development of deep learning technology, CNN and LSTM have become two
of the most popular neural networks. This paper combines CNN and LSTM or its variant and …