Can I read SVM for News Classification in NLP on EtoBox?

SVM for News Classification in NLP by mitalimeshram4 is a document available to read on EtoBox.

What is SVM for News Classification in NLP about?

This paper presents a comparative analysis of traditional machine learning models for text classification using a curated dataset of BBC news articles, focusing on preprocessing techniques and model performance. The study found that Support Vector Machines (SVM) achieved the highest accuracy of 96.94%, while emphasizing the importance of preprocessing in enhancing model performance. The research highlights the effectiveness of traditional methods for text classification tasks and suggests future exploration

Author

mitalimeshram4

Language

EN