Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics

Journal of Big Data

Kiran Chaudhary¹  Mansaf Alam²  Mabrook S. Al-Rakhami³  Abdu Gumaei³ 

[1] Department of Commerce, Shivaji College, University of Delhi;Department of Computer Science, Big Data, Cloud Computing and IoT Laboratory, Jamia Millia Islamia;Research Chair of Pervasive and Mobile Computing, Information Systems Department, College of Computer and Information Sciences, King Saud University;

关键词: Big data analytics;    Predictive;    Consumer perception;    Social media;    Data analytics;    Consumer behaviour;   

DOI  :  10.1186/s40537-021-00466-2

来源: DOAJ

【 摘 要 】

Abstract Social media is popular in our society right now. People are using social media platforms to purchase various products. We collected the data from various social media platforms. We analyzed the data for prediction of the consumer behavior on the social media platform. We considered the consumer data from Facebook, Twitter, Linked In and YouTube, Instagram, and Pinterest, etc. There are diverse and high-speed, high volume data which are coming from social media platform, so we used predictive big data analytics. In this paper, we have used the concept of big data technology to process data and analyze it to predict consumer behavior on social media. We have analyzed consumer behavior on social media platforms based on some parameters and criteria. We analyzed the consumer perception, attitude towards the social media platform. To get good quality of result, we pre-process data using various data pre-processing to detect outlier, noises, error, and duplicate record. We developed mathematical modeling using machine learning to predict consumer behavior on the social media platform. This model is a predictive model for predicting consumer behavior on the social media platform. 80% of data are used for training purposes and 20% for testing.

【 授权许可】

Unknown