Naive Bayes Model: Cleaned data, engineered features, and achieved impressive results. FLAN-T5 Large Language Model: Explored zero-shot, one-shot, and few-shot inference techniques.

Naive Bayes Based NLP model for English Language Identification with NLTK The project's purpuse is to develop a small NLP classifier which classifies text as "EN" english or "NON-EN" non english ...

[Click on image for larger view.] Figure 1: Gaussian Naive Bayes Classification Using scikit in Action This article assumes you have intermediate or better skill with a C-family programming language ...

Figure 1: Naive Bayes Classification Using scikit in Action This article assumes you have intermediate or better skill with a C-family programming language such as Python or C#, but doesn't assume you ...

The programming language script classification can be counted as a classical machine learning problem. This research aims to present a model using Multinomial Naïve Bayes (MNB) artificial intelligence ...

Naive Bayes algorithm is one of the popular supervised classification algorithm for categorical dataset which is built on conditional independence of feature assumption. Our experimental research ...

The Naive Bayes classification algorithm has been in use for a very long time, particularly in applications that require classification of texts. It is a probabilistic algorithm based on the popular ...