Analyzing the Social Media Advertising with ML Model: WEKA

Social media (SM) might be helpful for advertisers, Marketing people, and customers. Leaders in the business who need to investigate customer preferences and spending patterns are doomed to fail. Data mining methods extract information about consumer wants and needs to forecast their purchasing beha...

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Bibliographic Details
Published in:	2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) Vol. 1; pp. 1 - 7
Main Authors:	Shireesha, K., Ande, Venkata Sai Radhika, Singh, Bhaludra R Nadh, Deepthi, P., HimaBindu, A., Rani, K. Usha
Format:	Conference Proceeding
Language:	English
Published:	IEEE 27-10-2023
Subjects:	Consumer Behavior Data Mining Electronic learning Industries Instruments Machine learning algorithms Measurement Medical services ML Technique Social Media Social networking (online) WEKA
Online Access:	Get full text
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Summary:	Social media (SM) might be helpful for advertisers, Marketing people, and customers. Leaders in the business who need to investigate customer preferences and spending patterns are doomed to fail. Data mining methods extract information about consumer wants and needs to forecast their purchasing behavior. This article aims to look at a new approach to social media marketing by analyzing data from social media platforms with the use of ML methods, more especially the Waikato Environment for Knowledge Analysis (WEKA). Compared to other relevant algorithms, WEKA performs better than its competitors, particularly when looking at metrics like accuracy, recall, and F-measure.
DOI:	10.1109/ICCAMS60113.2023.10526074