Data-Driven Insights into Social Media Behavior Using Predictive Modeling

This study proposes a statistical machine learning approach to predict social media usage across various demographic categories in India. The dataset comprises twenty-six features, including demographic attributes (age, gender, education, location), social media engagement metrics (number of followe...

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Bibliographic Details

Published in:	Procedia computer science Vol. 252; pp. 480 - 489
Main Authors:	Selvakumar, V., Reddy, Nadipi Keerthana, Tulasi, R. Sree Vardhini, Kumar, Kunchala Rohit
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2025
Subjects:	Demographic Analysis Feature Engineering Gradient Boosting Algorithm Social Media Consumption Social Media Engagement Metrics Social Media Consumption Social Media Engagement Metrics Demographic Analysis Gradient Boosting Algorithm Feature Engineering
ISSN:	1877-0509, 1877-0509
Online Access:	Get full text
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