Detecting Disaster Related Tweets Using Hybrid Deep Neural Network Models

Author:

Paul Nayan Ranjan1,Sahoo Manmohan1,Hati Sukanta Kumar1,Sahoo Tapaswini1

Affiliation:

1. KMBB College of Engineering & Technology,Dept. of CSE,Daleiput, Khorda,India

Publisher

IEEE

Reference19 articles.

1. What to Expect When the Unexpected Happens

2. Priceless tweets! a study on Twitter messages posted during crisis: Black Saturday;sinnappan;ACIS 2010 Proceedings,0

3. A neural probabilistic language model;bengio;Journal of Machine Learning Research,2003

4. Efficient estimation of word representations in vector space;mikolov;ArXiv Preprint,2013

5. Glove: Global Vectors for Word Representation

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1. SatCoBiLSTM: Self-attention based hybrid deep learning framework for crisis event detection in social media;Expert Systems with Applications;2024-09

2. A Novel Approach to Handle Disaster with Twitter Reports by Deep Learning;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

3. NLP-Based Microblogging Post Filtering for Disaster-Related Content;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

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