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UNIT 2 Text Classification by vaishnavipasupureddi is a document available to read on EtoBox.
What is UNIT 2 Text Classification about?
The document discusses automated text classification, emphasizing the need for machine learning (ML) to efficiently categorize documents. It outlines the two main types of ML: supervised and unsupervised learning, detailing their processes, algorithms, and evaluation metrics. Additionally, it covers various classification algorithms, including Multinomial Naïve Bayes and Support Vector Machines (SVM), and their applications in multi-class classification tasks.
- Author
- vaishnavipasupureddi
- Language
- EN