2,170 research outputs found
Authorship Identification in Bengali Literature: a Comparative Analysis
Stylometry is the study of the unique linguistic styles and writing behaviors
of individuals. It belongs to the core task of text categorization like
authorship identification, plagiarism detection etc. Though reasonable number
of studies have been conducted in English language, no major work has been done
so far in Bengali. In this work, We will present a demonstration of authorship
identification of the documents written in Bengali. We adopt a set of
fine-grained stylistic features for the analysis of the text and use them to
develop two different models: statistical similarity model consisting of three
measures and their combination, and machine learning model with Decision Tree,
Neural Network and SVM. Experimental results show that SVM outperforms other
state-of-the-art methods after 10-fold cross validations. We also validate the
relative importance of each stylistic feature to show that some of them remain
consistently significant in every model used in this experiment.Comment: 9 pages, 5 tables, 4 picture
Digital Stylometry: Linking Profiles Across Social Networks
There is an ever growing number of users with accounts on multiple social
media and networking sites. Consequently, there is increasing interest in
matching user accounts and profiles across different social networks in order
to create aggregate profiles of users. In this paper, we present models for
Digital Stylometry, which is a method for matching users through stylometry
inspired techniques. We experimented with linguistic, temporal, and combined
temporal-linguistic models for matching user accounts, using standard and novel
techniques. Using publicly available data, our best model, a combined
temporal-linguistic one, was able to correctly match the accounts of 31% of
5,612 distinct users across Twitter and Facebook.Comment: SocInfo'15, Beijing, China. In proceedings of the 7th International
Conference on Social Informatics (SocInfo 2015). Beijing, Chin
Designometry β Formalization of Artifacts and Methods
Two interconnected surveys are presented, one of artifacts and one of designometry. Artifacts are objects, which have an originator and do not exist in nature. Designometry is a new field of study, which aims to identify the originators of artifacts. The space of artifacts is described and
also domains, which pursue designometry, yet currently doing so without collaboration or common methodologies. On this basis, synergies as well as a generic axiom and heuristics for the quest of the creators of artifacts are introduced. While designometry has various areas of applications, the research of methods to detect originators of artificial minds, which constitute a subgroup of artifacts, can be seen as particularly relevant and, in the case of malevolent artificial minds, as contribution to AI safety
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