Study to Perform Opinion Mining on Motivation Factors Generating Cyber Crime by Twitter Analytics

11 Pages Posted: 17 Apr 2020

Date Written: April 15, 2020

Abstract

Subsequently ages, researchers like Smith, Katherine T.; Smith, L. Murphy; Smith, Jacob L(2011), Cindy J. Smith; Sheldon X. Zhang (2011), Paternoster (2011), Schell and Melnychuk (2011), Alex Kigerl 2010, 2011, Bradford W. Reyns (2012), E. Gabriella (2012), Jean, Brody, Richard G.; Mulig, Elizabeth, Redins (2012), Ngo, Fawn T, McMahon, Richard; Bressler, Martin S.; Bressler (2016), Williams, Aditi Phadnis /Business Standard reports National Crime Records Bureau, Analysis: IndiaSpend (2016), Vivina Vishwanathan (2017), Teen Jose et al (2017) have talked the perceptions of cyber integrities, wrongdoings and sanctuary facets with the progression in the drifts of technology and traffic from outmoded to an online approach. Through the literature review from multiple magnitudes, it bounces a clear portrait that computer / cyber safekeeping or associated apprehensions are historic in nature. Over the literature assessment from several scopes, it gives a vibrant depiction that computer / cyber safekeeping or associated anxieties are historic in nature. It is also used to include outmoded crimes in which computers or networks are rummage-sale to empower the illegitimate commotion.

This study is based on secondary data and primary data collected from the Twitter platform of social media and application on R package has been implemented to retrieve outcome. Thus, helps to understand the amount of discussion made on Twitter for motivations factors behind cybercrime.

Keywords: Cybercrime, sentiment analytics, polarity test, R package, motivation behind cybercrime

Suggested Citation

Gadekar, Chaitali and Rakshit, Pushpendu P., Study to Perform Opinion Mining on Motivation Factors Generating Cyber Crime by Twitter Analytics (April 15, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3576430 or http://dx.doi.org/10.2139/ssrn.3576430

Chaitali Gadekar

MGM CCSIT ( email )

Navi Mumbai

Pushpendu P. Rakshit (Contact Author)

ABS, Navi Mumbai ( email )

Mumbai
India

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