Deep learning (DL)-oriented document processing is widely used in different fields for
extraction, recognition, and classification processes from raw corpus of data. The article …

The rapid increment in internet usage has also resulted in bulk gerenation of text data.
Therefore, investigation of new techniques for automatic classification of textual content is …

Document classification has played a major role in many fields like information retrieval,
data mining, etc. where machine learning and deep learning models can be applied. But …

Understanding Actual meaning of a natural written language document is easy for a human
but to enable a machine to do the same task require an accurate document representation …

Documents are one of the most important files that have been used in computer systems. A
deep learning model for document classification using Bidirectional Long Short-Term …

Over the last few years deep learning has out classed traditional machine learning in
several domains like machine translation, computer vision, speech recognition, natural …

Feature extraction in the field of Text Processing or Natural Language Processing (NLP) has
its own challenges due to the characteristics of unstructured text. Thus, the selection of the …

Traditional manual text classification method has been unable to cope with the current huge
amount of data volume. The improvement of deep learning technology also accelerates the …

Deep learning is an area that has seen many developments in recent years. One of these
algorithms that have provided good results is Deep Convolutional Neural Networks (DCNN) …

The usage of legal documents has increased tremendously due to its easy availability in
electronic format. This has given a wide range of exposure to the research areas. An …