Developing a Twitter-based traffic event detection model using deep learning architectures
Developing a Twitter-based traffic event detection model using deep learning architectures is a scholarly work, published in 2019 in ''Expert Systems with Applications''. The main subjects of the publication include Real world data, bag-of-words model, convolutional neural network, natural language processing, event, deep learning, data mining, artificial intelligence, traffic classification, dimensionality reduction, word embedding, curse of dimensionality, embedding, word, machine learning, feature, and computer science. Experimental results on the authors' labeled dataset show that the proposed approach achieves clear improvements over state-of-the-art methods.