ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
This project is a simple web application that uses a **Naive Bayes Classifier** to predict whether a movie review expresses a **positive** or **negative** sentiment. It is built using **Flask**, ...
In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...
The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
ABSTRACT: This paper presents a comprehensive approach to developing effective trading strategies for Exchange-Traded Funds (ETFs) by leveraging Long Short-Term Memory (LSTM) networks and sentiment ...
The probability is calculated by means of Kernel Density Estimation (KDE). The probability for each class does not use all variables, but only those that are relevant for each specific class. From the ...
Abstract: The purpose of the report is a comparative analysis of the Bernoulli and Multinomial Naive Bayes classifiers in text classification for machine learning. The conducted research demonstrates ...
Department of Medical Big Data, College of Artificial Intelligence Convergence, Inje University, Gimhae, South Korea This study provided baseline data for preventing depression in female older adults ...
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