This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …

To detect plagiarism of any form, it is essential to have broad knowledge of its possible forms
and classes, and existence of various tools and systems for its detection. Based on impact or …

This article examines the management of the seemingly ubiquitous problem of plagiarism by
students in higher education. An integrated review of the conceptual and empirical literature …

Natural language processing is independent field of aI (artificial intelligence) that basically
helps computer systems and mobile devices to understand, interpret and manipulate human …

Plagiarism is an illicit act of using other‟ s work wholly or partially as one‟ s own in any
field such as art, poetry literature, cinema, research and other creative forms of study. It has …

With high use of internet technology worldwide, the growth of data availability is also
growing rapidly. With the availability of ready data, it attracts few people to steal the data and …

Identifying academic plagiarism is a pressing problem, among others, for research
institutions, publishers, and funding organizations. Detection approaches proposed so far …

Abstract Background/Objectives: Nowadays, most of the automatic work has been done in
English language but not much work has been done in Hindi language. The main objective …

Plagiarism is a significant issue, especially among students, in the education field, where the
internet has made a vast amount of information easily accessible. Although numerous …

Abstract Objective: Author Profiling is a text classification technique to predict the author
profiles of anonymous text. Author Profiles are the demographic characteristics of the …