The empirical study of tweet classification system for disaster response using shallow and deep learning models

Author:

Maswadi Kholoud,Alhazmi Ali,Alshanketi Faisal,Eke Christopher IfeanyiORCID

Publisher

Springer Science and Business Media LLC

Reference38 articles.

1. Alam F, Joty S, Imran M (2018) Domain adaptation with adversarial training and graph embeddings. arXiv preprint arXiv:1805.05151

2. Alqaraleh S (2020) Classification of turkish text using machine learning: a case study using disasters tweets. International Journal of Scientific & Technology Research 9(3):4953–4956

3. Ashish V (2017) Attention is all you need. Adv Neural Inf Process Syst 30:1

4. Burel G, Alani H (2018) Crisis event extraction service (crees)-automatic detection and classification of crisis-related content on social media. In: Proceedings of the 15th ISCRAM Conference – Rochester, NY, USA May 2018

5. Chen Y, Xu L, Liu K, et al (2015) Event extraction via dynamic multi-pooling convolutional neural networks. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 167–176

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