INFORMATION EXTRACTION OF TRAFFIC CONDITION FROM SOCIAL MEDIA USING BIDIRECTIONAL LSTM-CNN

INFORMATION EXTRACTION OF TRAFFIC CONDITION FROM SOCIAL MEDIA USING BIDIRECTIONAL LSTM-CNN

Today's social media, especially the Twitter platform has become the most popular information source to find out the traffic conditions in real-time. Generally the use of information posted on Twitter is used for short-term purposes, only to find out the congestion points during the event. If t...

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Bibliographic Details
Main Author:	RIZA ALIFI - NIM: 23515021 , M.
Format:	Theses
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/29049
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Institut Teknologi Bandung
Language:	Indonesia

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