Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …

Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …

Knowledge graphs gained popularity in recent years and have been useful for concept
visualization and contextual information retrieval in various applications. However …

Using a trial and error method to measure amorphous forming ability in the experiment is a
complex and time-consuming process. Therefore, it is necessary to devise a method that can …

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 …

Deep neural networks (DNNs) have been applied to predict the cycle times of jobs in
manufacturing accurately. However, the prediction mechanism of a DNN is complex and …

Question classification is a crucial task for answer selection. Question classification could
help define the structure of question sentences generated by features extraction from a …

It is an undeniable fact that people excessively rely on social media for effective
communication. However, there is no appropriate barrier as to who becomes a part of the …

The growth in textual data associated with the increased usage of online services and the
simplicity of having access to these data has resulted in a rise in the number of text …