We present our approach for computer-aided social media text authorship attribution based on recent advances in short text authorship verification. We use various natural language techniques to create word-level and character-level models that act as hidden layers to simulate a simple neural network. The choice of word-level and character-level models in each layer was informed through validati...

The text categorization is an important field for the automatic text information processing. Moreover, the authorship identification of a text can be treated as a special text categorization. This paper adopts the conceptual primitives’ expression based on the Hierarchical Network of Concepts (HNC) theory, which can describe the words meaning in hierarchical symbols, in order to avoid the spars...

The paper discusses about the problem of Authorship analysis, different types of authorship analysis’s such as authorship attribution, authorship identification, authorship profiling, plagiarism detection. It also addresses the issues in Indian language text. Keywords— Authorship attribution, authorship profiling, plagiarism detection, text classification.

Ghost authorship Vs Gift - ACHR- Print ISSN No: 2581-5725 Online No:- 2456-9267 Article DOI 10.18231/j.achr.2022.033, IP Archives of Cytology and Histopathology Research-IP Arch Cytol Histopathol Res

In this paper, we consider the problem of selecting, for any given positive integer k, the top-k nodes in a social network, based on a certain measure appropriate for the social network. This problem is relevant in many settings such as analysis of co-authorship networks, diffusion of information, viral marketing, etc. However, in most situations, this problem turns out to be NP-hard. The exist...