Background of the Study
Sentiment analysis, also known as opinion mining, is a key tool in brand monitoring. By analyzing public opinions expressed on social media and other digital platforms, organizations can gauge customer satisfaction and improve their strategies. Nigerian Breweries, one of the leading beverage manufacturers in Kaduna State, has a significant online presence that generates valuable consumer feedback.
Artificial Intelligence plays a pivotal role in automating sentiment analysis through natural language processing (NLP) and machine learning algorithms. These tools can classify opinions as positive, negative, or neutral, providing actionable insights for brand enhancement.
Statement of the Problem
Despite the growing adoption of AI for sentiment analysis globally, Nigerian Breweries has not fully leveraged these tools for brand monitoring. This lack of integration leads to missed opportunities in understanding consumer preferences and addressing negative feedback promptly.
Aim and Objectives of the Study
Research Questions
Research Hypothesis
Significance of the Study
The study advances understanding of AI applications in brand monitoring, offering actionable insights for Nigerian Breweries and similar organizations.
Scope and Limitation of the Study
The study focuses on Nigerian Breweries in Kaduna State and their online consumer engagement. Limitations include data privacy concerns and variability in social media sentiment accuracy.
Definition of Terms
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