Analyzing Chain Fast Food Logotypes for Branding Using Opinion Mining and Natural Language Processing Methods

Branding significantly influences consumer behavior and preferences in the chain fast-food industry. This research aims to examine user opinions on logotypes for chain fast-food using advanced sentiment analysis and text mining methods, focusing on the impact of logotypes on branding. Data for the study are collected through a comprehensive questionnaire administered to users. Utilizing state-of-the-art sentiment analysis and NLP techniques, such as BERT, this research explores the intricate relationship between branding elements, user sentiments, opinions, and logotypes within the chain fast-food sector. The study aims to provide detailed insights into the diverse consumer preferences that exist within the industry, thereby facilitating the development of more targeted and effective branding strategies aimed at enhancing brand reputation. Ultimately, the findings of this study are poised to contribute significantly to the optimization of logotypes for chain fast-food establishments, offering a comprehensive understanding of the complex interplay between logotypes and branding in the fast-food landscape. This research not only advances academic knowledge but also provides practical implications for marketers and brand managers in the fast-food industry.

Analyzing Chain Fast Food Logotypes for Branding Using Opinion Mining and Natural Language Processing Methods Keywords:

Branding , Sentiment Analysis , Natural Language Processing , Logotype , Opinion Mining , Machine Learning