Jakarta Congestion Mapping And Classification From Twitter Data Extraction Using Tokenization And Na??ve Bayes Classifier
Jakarta Congestion Mapping And Classification From Twitter Data Extraction Using Tokenization And Na??ve Bayes Classifier
Author : GIGIH REZKI SEPTIANTO; FIRMAN FAKHRI MUKTI; MUHAMMAD NASRUN; ALFIAN AKBAR GOZALI Published on : Asia Pacific Conference on Multimedia and Broadcasting (APMediaCast 2015)
Abstract
“The data potential of Twitter is a powerful resource for data mining exploration. This research aims to pull the traffic information in Jakarta from Twitter. The first output is to develop a web application that can display Jakarta???s traffic situation in real time. The process include filtering and tokenizing to get the traffic jam???s location and direction to be displayed on Google Map. The second output is to develop a predictive analysis system to oversee Jakarta traffic pattern in a certain period of time using Na??ve Bayes Classifier”
