Skip to content

Online news popularity prediction using artificial neural networks. Submitted as a term project for CMSC 191, ICS UPLB.

Notifications You must be signed in to change notification settings

alwinpamintuan/news-popularity-ann

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 

Repository files navigation

Online News Popularity Prediction using Artificial Neural Networks

This repository contains all data and programs used in the paper "Online News Popularity Prediction Using Artificial Neural Networks" in fulfillment of the sole requirement in CMSC 191: Introduction to Neural Networks during the 1st Semester of A.Y. 2021-2022 of the University of the Philippines Los Baños.

Submitted by:
John Alwin R. Pamintuan
CMSC 191 Z


Dataset used:
Online News Popularity Dataset
K. Fernandes, P. Vinagre and P. Cortez. A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News. Proceedings of the 17th EPIA 2015 - Portuguese Conference on Artificial Intelligence, September, Coimbra, Portugal.

About

Online news popularity prediction using artificial neural networks. Submitted as a term project for CMSC 191, ICS UPLB.

Resources

Stars

Watchers

Forks