Skip to main navigation menu Skip to main content Skip to site footer

Articles

Vol. 8 No. 4 (2021)

Naïve Bayes Algorithm for Large Scale Text Classification

  • SIVAKUMAR Pirunthavi
  • EKANAYAKE Jayalath
Submitted
February 18, 2024
Published
2024-02-18

Abstract

This paper proposed an improved Naïve Bayes Classifier for sentimental analysis from a large-scale dataset such as in YouTube. YouTube contains large unstructured and unorganized comments and reactions, which carry important in-formation. Organizing large amounts of data and extracting useful information is a challenging task. The extracted information can be considered as new knowledge and can be used for decision-making. We extract comments from YouTube on videos and categorized them in domain-specific, and then apply the Naïve Bayes classifier with improved techniques. Our method provided a decent 80% accuracy in classifying those comments. This experiment shows that the proposed method provides excellent adaptability for large-scale text classification.

Downloads

Download data is not yet available.

Similar Articles

1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)