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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Procedia computer science Jg. 252; S. 480 - 489
Hauptverfasser:	Selvakumar, V., Reddy, Nadipi Keerthana, Tulasi, R. Sree Vardhini, Kumar, Kunchala Rohit
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2025
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!