This script contains an implementation of a Multinomial Logistic Regression model for text classification. The model is written from scratch without use of sklearn or similar libraries. Testing of the ...

This project aims to detect hallucinations in text by classifying summaries as either factual or hallucinated using a logistic regression model implemented from scratch. The Bag of Words (BoW) ...

Abstract: Multinomial logistic regression (MLR) has been widely used in the field of face recognition, text classification, and so on. However, the standard multinomial logistic regression has not yet ...

In-text document classification (Aghila and Vidhya, 2010), the Naive Bayes model is utilized, in which the document is considered an event, and the likelihood of nonoccurrence of terms is tested. Two ...

In this paper we consider high-dimensional multiclass classification by sparse multinomial logistic regression. We propose first a feature selection procedure based on penalized maximum likelihood ...

The Multinomial Naïve Bayes model is particularly well-suited for text classification tasks where features are based on word counts or frequencies—exactly the case with our data set.