Traffic accident detection and condition analysis based on social networking data-Reference-Cited by-同舟云学术

Traffic accident detection and condition analysis based on social networking data

Published:2021-03 Issue: Volume:151 Page:105973
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Ali Farman^ORCID,Ali Amjad,Imran Muhammad^ORCID,Naqvi Rizwan Ali,Siddiqi Muhammad Hameed,Kwak Kyung-Sup

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference56 articles.

1. Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling;Ali;Transp. Res. Part C Emerg. Technol.,2017

2. Feature-based transportation sentiment analysis using fuzzy ontology and SentiWordNet;Ali;9th Int. Conf. Inf. Commun. Technol. Converg. ICT Converg. Powered by Smart Intell. ICTC 2018 D,2018

3. Fuzzy ontology and LSTM-based text mining: a transportation network monitoring system for assisting travel;Ali;Sensors (Switzerland),2019

4. Transportation sentiment analysis using word embedding and ontology-based topic modeling;Ali;Knowledge-Based Syst.,2019

5. A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion;Ali;Inf. Fusion,2020

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