Creating keyword-based topic detection models

You can create a topic detection model that analyzes a piece of text by checking whether it contains any topic-specific keywords. If that model encounters any topic-specific keywords in the analyzed text, the model assigns that piece of text to the corresponding topic. Keyword-based categorization models act as substitutes or supplements for machine learning categorization models in cases in which machine learning models are not fully developed or do not produce satisfactory results, for example, when they have low prediction accuracy.