Computer Science
a year ago

Boosting accuracy in text classification with Support Vector Machine outperforms other models

Lecture notes in networks and systems
Evaluation of Text Classification Using Support Vector Machine Compare with Naive Bayes, Random Forest Decision Tree and K-NN
Tao Hai, Jincheng Zhou, S A Bayan Zadeh, Oluwabukola A. Adetiloye, Mingjiang Li, Ikpenmosa Uhumuavbi, Celestine Iwendi

Paper Summary

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The article compares different models to see which one is best at classifying text. They used Support Vector Machine, Naive Bayes, Random Forest Decision Tree, and K-NN. The results showed that Support Vector Machine had the highest accuracy in classifying text compared to the other models.