Frontiers

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
Frontiers

Spherical model for Minimalist Machine Learning paradigm in handling complex databases

1 Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, Mexico 2 Smart Computing Laboratory, Centro de Investigación en Computación, Instituto Politecnico Nacional, Mexico, Mexico ...
IEEE

Comparison of Naive Bayes and SVM Algorithm based on Sentiment Analysis Using Review Dataset

Abstract: Now a day's sentiment analysis is the most used research topic. The sentiment analysis result is based on different investigation for example politics, terrorism, economy, international ...
Scientific Research Publishing

Analysing Effectiveness of Sentiments in Social Media Data Using Machine Learning Techniques ()

1 PG & Research Department of Computer Science, D.G.Vaishnav College, Chennai, India. 2 PG Department of IT & BCA, D.G.Vaishnav College, Chennai, India. 3 Department ...
Scientific Research Publishing

Bank Loan Prediction Using Machine Learning Techniques ()

Banks are important for the development of economies in any financial ecosystem through consumer and business loans. Lending, however, presents risks; thus, banks have to determine the applicant’s ...
GitHub

johndeweyzxc/Multinomial-Naive-Bayes

A Multinomial Naive Bayes Classifier is a type of Naive Bayes algorithm used primarily for text classification tasks, such as spam detection, sentiment analysis, and document categorization. It is ...
IEEE

Improving the Accuracy by Comparing the Gaussian Naive Bayes Algorithm and Logistic Regression for Predicting Hate Speech Recognition

Abstract: Comparing the Novel Gaussian Naive Bayes method with Logistic Regression for Hate Speech Prediction with the aim of increasing accuracy. Materials and Methods: This proposed Machine learning ...
GitHub

Getting Started with Naive Bayes Algorithm in ML

Naive Bayes is a probabilistic machine learning algorithm that can be used to solve a wide range of classification problems. Typical applications include spam filtering, document classification, ...