Subjectivity analysis and authorship attribution are very popular areas of research. However, work in these two areas has been done separately. Our conjecture is that by combining information about subjectivity in texts and authorship, the performance of both tasks can be improved. In the paper a personalized approach to opinion mining is presented, in which the notions of personal sense and id...

The purpose of this article is to explore the process of determining authorship credit and authorship order on collaborative publications with students. The article presents hypothetical cases that describe relevant ethical issues, highlights ethical principles that could provide assistance in addressing these dilemmas, and makes recommendations to faculty who collaborate with students on schol...

We describe Authorship Attribution of Bengali literary text. Our contributions include a new corpus of 3,000 passages written by three Bengali authors, an end-toend system for authorship classification based on character n-grams, feature selection for authorship attribution, feature ranking and analysis, and learning curve to assess the relationship between amount of training data and test accu...

Automatic authorship attribution, by its nature, is much more advantageous if it is domain (i.e., topic and/or genre) independent. That is, many real world problems that require authorship attribution may not have in-domain training data readily available. However, most previous work based on machine learning techniques focused only on in-domain text for authorship attribution. In this paper, w...

Authorship analysis is a text analysis technique that is visualized mainly in three different techniques namely Authorship Profiling, Authorship Identification and Plagiarism Detection. In this paper a brief survey on the recent developments in the area of author profiling approaches were presented. Authorship Profiling is to ascertain various authors characteristics like age, gender, native co...

This paper describes the participation of the PISIS team in the authorship identification track of PAN’11. We adopted two different strategies for the tasks of authorship attribution and authorship verification. For authorship attribution we performed experiments with a document occurrence representation using a standard classification-based approach. Results obtained with this approach were mi...

introduction: the articles indexed in accredited citation databases essentially indicate how scientists share knowledge and promote sustainable development in each country. therefore, according to citations to the papers of individuals, it could be possible to assess the rate of their acceptability in the scientific community. the main objective of this study was to review lotka's law of scient...

BACKGROUND Co-authorship is one of the most tangible forms of research collaboration. A co-authorship network is a social network in which the authors through participation in one or more publication through an indirect path have linked to each other. The present research using the social network analysis studied co-authorship network of 681 articles published in Journal of Research in Medical ...

There are different ways in which the authors of a scientific publication can determine the order in which their names are listed. Sometimes author names are simply listed alphabetically. In other cases, authorship order is determined based on the contribution authors have made to a publication. Contribution-based authorship can facilitate proper credit assignment, for instance by giving most c...