AI-Powered Brand Perception Analysis: A Neural Network Approach for Company Branding Classification
Year: 2025
Type: article
Abstract: Brand perception plays a crucial role in a company's market position, influencing customer trust, loyalty, and decision-making. Traditional methods of analysing brand perception rely on surveys and sentiment analysis, which can be timeconsuming and subjective. This paper proposes an AI-driven approach using neural networks to classify and analyse company branding. By leveraging Convolutional Neural Networks (CNNs) for visual branding and Recurrent Neural Networks (RNNs) or Transformers for text-based brand perception, we demonstrate a robust classification framework. The study explores datasets, model architectures, and evaluation metrics to assess AI's effectiveness in brand classification. The results indicate that AIpowered branding analysis can significantly enhance real-time brand monitoring and sentiment assessment
Author: Siddharth Deepak Saxena
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411152169