Content-based text analysis is recent development in machine learning that is clearly a technological advancement. In the digital age, everything is done quickly and instantly, giving business people greater insight. Classification is a crucial step in using machine learning in education to address these problems. Document writing appropriateness can be assessed by categorizing the topic-specific labeled training data. A content-based system is a tool that assists operators in locating content and overcoming the deluge of information. It assists in anticipating users' interests and provides recommendations based on the interest model of consumers. The evolution of collaborative filtering and the initial content-based recommender system are both continued, requires none of the user’s checking appropriately.
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Karthica et al. (2023) studied this question.
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