Supervised Text Classification Algorithms and Methods

Authors

  • Adebola K. Ojo Department of Computer Science, University of Ibadan, Ibadan, Nigeria.

DOI:

https://doi.org/10.9734/bpi/mono/978-81-972870-5-3/CH11

Keywords:

Naive Bayes, k Nearest Neighbor, Logistic Regression, Support Vector Machines, Decision Trees

Abstract

Assigning a written document to one or more classes or groups is referred to as this task. We will go over a number of fundamental supervised text classification techniques, such as Decision Trees (DT), Naive Bayes, Support Vector Machines (SVM), Logistic Regression, and k Nearest Neighbor (kNN).

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Published

2024-08-02

How to Cite

Adebola K. Ojo. (2024). Supervised Text Classification Algorithms and Methods. Text Mining Techniques With Applications, Edition 1, 141–156. https://doi.org/10.9734/bpi/mono/978-81-972870-5-3/CH11

Issue

Text Mining Techniques with Applications, Edition 1

Section

Contents