Social media survey using decision tree and naive Bayes classification.

Roshini, T.; Sireesha, P. Venkata; Parasa, Dhanush; Bano, Shahana

Abstract

Social media - a website or an application that is used to create and share content among a social network - is one of the most important aspects of our day-to-day life. Recent studies claim that an average person spends roughly 142 minutes per day on some form of social media, representing a significant increase over the past few years. The purpose of this study was to learn what types of social media platforms people prefer and to evaluate how secure people feel on each social media platform.

Citation

ROSHINI, T., SIREESHA, P.V., PARASA, D. and BANO, S. 2019. Social media survey using decision tree and naive Bayes classification. In Proceedings of the 2nd International conference on intelligent communication and computational techniques (ICCT 2019), 28-29 September 2019, Jaipur, India. Piscataway: IEEE [online], pages 265-270. Available from: https://doi.org/10.1109/ICCT46177.2019.8969058

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2nd International conference on intelligent communication and computational techniques (ICCT 2019
• Start Date: Sep 28, 2019
• End Date: Sep 29, 2019
• Acceptance Date: May 1, 2019
• Online Publication Date: Jan 28, 2020
• Publication Date: Dec 31, 2019
• Deposit Date: Sep 20, 2023
• Publicly Available Date: Sep 20, 2023
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Pages: 265-270
• ISBN: 9781728117126
• DOI: https://doi.org/10.1109/ICCT46177.2019.8969058
• Keywords: Social media; Social media platforms; Decision trees
• Public URL: https://rgu-repository.worktribe.com/output/2064100