Language Detection Using Naive Bayes Model
D. Likhith Reddy, K. Pallavi, M. Priyanka, A. Sujitha, J.V. Sumanth, G. Vinay
Feature Extraction, Naive Bayes Model, Detection , Classifier
This project explores the application of a Naive Bayes classifier for language detection in text documents. We implement the model using Python and the scikit-learn library, training it on a diverse dataset of text samples in different languages. Through rigorous experimentation and evaluation, we assess the classifier's accuracy, precision, and recall across various languages. The results demonstrate the effectiveness of the naive Bayes approach in accurately identifying the language of textual content, highlighting its potential for practical language detection applications.
Article Details
Unique Paper ID: 163926

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 725 - 729
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