Deep Learning Classification of Traffic-Related Tweets: An Advanced Framework Using Deep Learning for Contextual Understanding and Traffic-Related Short Text Classification

Deep Learning Classification of Traffic-Related Tweets: An Advanced Framework Using Deep Learning for Contextual Understanding and Traffic-Related Short Text Classification

Classifying social media (SM) messages into relevant or irrelevant categories is challenging due to data sparsity, imbalance, and ambiguity. This study aims to improve Intelligent Transport Systems (ITS) by enhancing short text classification of traffic-related SM data. Deep learning methods such as...

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Bibliographic Details
Main Authors: Wasen Yahya Melhem, Asad Abdi, Farid Meziane
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
short text classification
BiLSTM–TextCNN integration
multi-level attention mechanism
character–word–concept embeddings
traffic-related social media analysis
intelligent transport systems (ITS)
Online Access:https://www.mdpi.com/2076-3417/14/23/11009
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