AI-Powered Sentiment Analysis in Real-Time Brand Monitoring

Abstract

The contemporary market is so competitive and it is necessary to have a real time feeling of consumer sentiment, which is critical to a functional brand management. The paper presents the application of artificial intelligence (AI) in sentiment analysis to monitor and determine the brand perception on different online platforms. The old ways of brand monitoring usually involve surveys conducted occasionally or a manual study that is not only time consuming but also subject to human error. The research will allow automatic organization and analysis of the views of consumers posted on social media, reviews, forums, and other web-based platforms by utilizing AI-based solutions, such as natural language processing (NLP) and machine learning algorithms, facilitating the recognition of the problem. The proposed framework captures real-time data streams and determines the sentiment polarity, which can be positive, negative or neutral and identifies the finer emotional trends that gives more insights into consumer attitudes. Moreover, the system applies predictive analytics so that it anticipates changes in brand perception so as to take proactive strategic interventions. How the AI sentiment analysis models can effectively, efficiently, and with scale process large masses of unstructured data is one of the primary areas of interest of the current study. It has been proven through experimental results that sentiment insights monitored by AI are highly precise and timely compared to the traditional methods. The observations point to the disruptive character of AI that can open an opportunity to marketers with the opportunity to make decisions on the basis of data, improve customer interactions, and safeguard brand image. The other issues that are dealt with in this study are dealing with sarcasm, situations that require a different kind of language and multilingual information, and how to make the model more challenging, suggesting how to address these challenges. Altogether, AI implementation in real-time brand surveillance is a new paradigm of marketing intelligence, and it can help organizations react to consumer feedback dynamically and retain a competitive advantage in an ever-digital market.