Authorship Identification using Generalized Features and Analysis of Computational Method

Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2015, Vol 3, Issue 2

Abstract

Authorship Identification is being used for forensics analysis and humanities to identify the author of anonymous text used for communication. Authorship Identification can be achieved by selecting the textual features or writing style. Textual features are the important elements for Authorship Identification .It is therefore important to analyze them and identify the most promising features. This paper tries to identify and analyze promising generalized features and computational methods for authorship Identification. The performed experiments in the authorship identification task shows that, the support vector machine classifier used as computational method can achieve better results with identified generalized feature set.

Authors and Affiliations

Smita Nirkhi, R. V. Dharaskar, V. M. Thakare

Keywords

Related Articles

Contextual Arabic Handwriting Recognition System Using Embedded Training Based Hybrid HMM/MLP Models

Recognizing unconstrained cursive Arabic handwritten text is a very challenging task the use of hybrid classification to take advantage of the strong modeling of Hidden Markov Models (HMM) and the large capacity of discr...

An Objective Approach to Schizophrenia Recognition Utilizing an Adaptive Neuro-Fuzzy Inference (ANFIS) Model

Schizophrenia is a brain disorder that distorts the way a person thinks, acts, expresses emotions, perceives reality, and relates to others. A systematic approach and an overview perception has been carried out over the...

Role of Management and Policy Issues in Computer Security: Rand Report R-609 within Organization

The need to provide strengthened Security for Information Systems within organization increases day after day seeing the large development of interconnection of the World Wide Web and the clear effect that results by the...

Feature-rich PoS Tagging through Taggers Combination : Experience in Arabic

Since words can play different syntactic roles in different contexts, it is not trivial to assign the appropriate morphosyntactic category to each word according to the context. Part of Speech (PoS) tagging is the task w...

Identification of Objects by Machines using RFID Technology Identify Objetcs in Internet of Things

Embedded Systems and Internet of Things know recently a revolution in terms of innovation. With connectivity and networks, embedded systems are becoming more communicative, intelligent, and autonomous. They had the abili...

Download PDF file
  • EP ID EP278886
  • DOI 10.14738/tmlai.32.1064
  • Views 59
  • Downloads 0

How To Cite

Smita Nirkhi, R. V. Dharaskar, V. M. Thakare (2015). Authorship Identification using Generalized Features and Analysis of Computational Method. Transactions on Machine Learning and Artificial Intelligence, 3(2), 41-45. https://europub.co.uk/articles/-A-278886