Over the decades, a tremendous increase has been witnessed in the production of
documents available in digital form. The increased production of documents has gained so …

The existing plethora of document classification techniques exploits different data sources
either from the content or metadata of research articles. Various journal publishers like …

Abstract Every year, around 28,100 journals publish 2.5 million research publications.
Search engines, digital libraries, and citation indexes are used extensively to search these …

The profusion of documents production at an exponential rate over the web has made it
difficult for the scientific community to retrieve most relevant information against the query …

Classification is an important task in data mining. Classification is about organizing data into
relevant nodes in taxonomy. In scientific domain, classification of documents to predefined …

Classification has been already used for the prediction of predefined topics in many
diversified domains including research paper classification task. A research paper may …

A bulk of textual documents are available online on the Internet, digital libraries, and news
sources, and their amount is increasing enormously day by day. Scientific literature is …

Document classification is an important task in data mining. Currently, identifying category
(ie, topic) of a scientific publication is a manual task. The Association for Computing …

A common task in a world of natural language processing is text classification useful for eg
spam filters, documents sorting, science articles classification or plagiarism detection. This …

In this research we analyzed the performance of some well-known classification algorithms
in terms of their accuracy and proposed a methodology for model stacking on the basis of …