Text classification is a challenging problem due to the high dimensionality of the text, which
can limit classification performance. The orthogonal matching pursuit (OMP) algorithm is one …

In this paper, we consider the application of the matching pursuit algorithm (MPA) for
spectral analysis of non-stationary signals. First, we estimate the approximation error and …

Text classification is an essential task of natural language processing. Preprocessing, which
determines the representation of text features, is one of the key steps of text classification …

Each and every day we are collecting lots of information from web applications. So it is
difficult to understand or detect what the whole information is all about. To detect …

The rapid growth in the number of electronic documents has resulted in the information
overload problem. Text mining is an exciting research area that has the potential to provide …

Text documents have rich information that can be useful for different tasks. How to utilise the
rich information in texts effectively and efficiently for tasks such as text classification is still an …

Living in the age of big data, we have an abundance of data available to help us perform
complex tasks such as image recognition, object detection, and autonomous driving …

Each and every day, huge amount of information are collected from web applications. So it is
difficult to understand or detect what the whole information is all about. To detect …

Text has been the dominant way of storing data in computer systems and sending
information around the Web. Extracting meaningful representations out of text has been a …

Text has been the dominant way of storing data in computer systems and sending
information around the Web. Extracting meaningful representations out of text has been a …