-
Hello paul10101,
That’s a great question, and the distinction can definitely be confusing at first.
While customer feedback and social media posts are indeed unstructured data, the deciding factor in this scenario is the task’s goal, not the data format. Identifying sentiment is a classification problem, where the model assigns predefined labels such as positive, negative, or neutral to existing text. Traditional machine learning models are well suited for this type of analysis and have long been used for sentiment detection by transforming text into numerical features and applying supervised learning techniques.
Generative AI, on the other hand, is primarily designed to create new content rather than label or categorize existing data. Since this use case focuses on analyzing and classifying sentiment rather than generating text, Traditional ML model remains the correct and exam-aligned answer.
Best,
Irene @ Tutorials Dojo
