Stylometry-Based Authorship Identification

Author:

Pham Duc Huu1ORCID

Affiliation:

1. International University-Vietnam National University Ho Chi Minh City, Vietnam

Abstract

The Internet has helped to collect and exchange information and data with its constant expansion and evolution for devices to be intertwined with each other. These advances provide invaluable information about people and issues related to their lives including behaviors, interests, and preferences which have brought about the Internet of Behaviors (IoB) in attempts to understand the data collected from users' online activities. From a behavioral psychology perspective, the IoB can address the question of how to understand the data, and how to apply that understanding to create things that benefit humans. The IoB is related to many fields of research including technology, data analytics, and behavior science in relationship with stylometry. The applications of stylometry within the IoB framework such as analyzing the writing style of social media posts, online reviews, journal articles, or literary works at tertiary educational organizations could provide insights into the personality or motivations of the author. Thus, stylometry could potentially be used to identify authorship.

Publisher

IGI Global

Reference88 articles.

1. AkhgarB.SaathoffG. B.ArabniaH. R.HillR.StaniforthA.BayerlP. S. (2015). Application of big data for national security: a practitioner’s guide to emerging technologies. Butterworth-Heinemann.

2. Stolen without a gun: Applying stylometric methods to the detection of surreptitious insider fraud.;S.Argamon;Digital Investigation,2009

3. An Evaluation of Text Classification Methods for Literary Authorship Attribution.;S.Argamon;Literary and Linguistic Computing,2003

4. Overview of authorship attribution;S.Argamon;Handbook of natural language processing,2009

5. The Stylistic Debates: Revenge of the Burrows.;S.Argamon;Literary and Linguistic Computing,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3