The Role of Artificial Intelligence in Reshaping Consumer Behavior and Market Dynamics in the Digital Economy

Abstract

Artificial Intelligence (AI) is a transformative technology in the digital economy, enabling businesses to analyze consumer behavior and enhance marketing strategies. The primary drawbacks of these social media platforms are lower data quality and a lack of advanced analytics to meet end users’ requirements. For that purpose, this article develops a novel computational model to analyze digital marketing trends using Machine Learning (ML) and Deep Learning (DL) techniques. The proposed methodology begins with a computational data model for efficient data collection and preprocessing steps, including sentiment labeling, geospatial analysis, ground-truth validation, and data augmentation. A hybrid classification approach is employed, integrating traditional ML models such as Support Vector Machine (SVM), Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), and Multi-layer Perceptron (MLP) with deep learning models, including a CNN-LSTM architecture and the DeepNAO framework. The hybrid design enables effective extraction and improves classification accuracy. The model simulation, Pythsimulation, and the analysis parameters (including loss, accuracy, and precision) for both calculation models. Among the considered models, the DeepNAO model performs best in terms of accuracy and precision, offering optimized strategies for the competitive digital product market.