AI Powered Brand Perception Analysis: A Neural Network Approach for Company Branding Classification

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Authors: Prof. Manish Joshi, Siddharth Saxena, Sachin Yadav, Prashant Mehta, Saptarshi Dhameliya
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Abstract

Customers perceptions of a business contribute significantly to its performance. Having a positive brand image cultivates credibility, retention, and improved revenues. In the past, businesses relied on rudimentary methods such as reviews and surveys which were manual and time-consuming, and often, inaccurate and biased. This study looks at how AI can streamline time-consuming processes and improve efficiency. It employs one type of AI to process graphical customer brand images such as logos, and another type to analyse customer sentiment in text form like reviews or social media comments. In the tests where use of AI was implemented, this technique outperformed older methods in both time and accuracy, confirming its usefulness in real-time brand sentiment analysis.

Fields of Study & Subjects

Sentiment Analysis and Opinion Mining Digital Marketing and Social Media Consumer Behavior in Brand Consumption and Identification

Publication details

Journal / source
International Journal for Research in Applied Science and Engineering Technology
Volume
14
Issue
2
Pages
484–488
Publication date
13 February 2026
Language
EN