Comparative Analysis of Machine Learning Models for Real-Time Disaster Tweet Classification: Enhancing Emergency Response with Social Media Analytics

G Airlangga - Brilliance: Research of Artificial Intelligence, 2024 - jurnal.itscience.org
In the realm of disaster management, the real-time analysis of social media data, particularly
from Twitter, has become indispensable. This study investigates the efficacy of various …

Unveiling the Power of Deep Learning: A Comparative Study of LSTM, BERT, and GRU for Disaster Tweet Classification

I Ullah, A Jamil, IU Hassan, BS Kim - IEIE Transactions on Smart …, 2023 - dbpia.co.kr
Disasters have serious effects on people's lives and buildings. Therefore, social media
platforms, such as Twitter, have become more critical. They are crucial tools for responding …

Deep learning for real-time social media text classification for situation awareness–using Hurricanes Sandy, Harvey, and Irma as case studies

M Yu, Q Huang, H Qin, C Scheele… - Social Sensing and Big …, 2020 - taylorfrancis.com
Social media platforms have been contributing to disaster management during the past
several years. Text mining solutions using traditional machine learning techniques have …

[HTML][HTML] The Effect of Training Data Size on Disaster Classification from Twitter

D Effrosynidis, G Sylaios, A Arampatzis - Information, 2024 - mdpi.com
In the realm of disaster-related tweet classification, this study presents a comprehensive
analysis of various machine learning algorithms, shedding light on crucial factors influencing …

An Enhanced Ensemble Framework for Disaster Tweet Categorization

N Shanthi, RC Suganthe, N Aravindhraj… - 2024 International …, 2024 - ieeexplore.ieee.org
In the contemporary landscape, Twitter has evolved into an omnipresent platform, serving
diverse functions ranging from expressing movie reviews to swiftly disseminating breaking …

Effective Tweets Classification for Disaster Crisis based on Ensemble of Classifiers

CI Eke, M Mulenga, M Phiri, AS Al-Shamayleh, M Imran… - 2023 - researchsquare.com
In the field of disaster crisis management, the utilization of social media platforms has
gained significant recognition. It helps in disseminating and gathering information during …

Enhancing Disaster Tweet Classification with Ensemble Models and Multiple Embeddings

A Singh, P Soni, A Singh, I Potle… - 2023 4th IEEE Global …, 2023 - ieeexplore.ieee.org
Social media, particularly Twitter, is a vast source of information where users post tweets,
leading to a significant volume and variety of shared content. During natural disasters, the …

A comparative analysis of machine learning techniques for disaster-related tweet classification

A Kumar, JP Singh, S Saumya - 2019 IEEE R10 Humanitarian …, 2019 - ieeexplore.ieee.org
Disaster-related tweets on Twitter during emergencies contain various information about
injured or dead people, missing or found people, infrastructure and utility damage that can …

Disaster Event Classification on Twitter: A Comparison of LSTM and GRU Algorithms using Word Embedding FastText and GloVe

A Febrian, AD Laksito - 2023 International Workshop on …, 2023 - ieeexplore.ieee.org
The increasing significance of handling issues pertaining to disasters in contemporary
society necessitates prompt access to precise information. This study examines disaster …

Categorizing disaster tweets using learning based models for emergency crisis management

K Asinthara, M Jayan, L Jacob - 2023 9th International …, 2023 - ieeexplore.ieee.org
Social media communication is essential to the crisis response aftermath of a massive
tragedy. Facebook, Twitter, and other social media network platforms are effective …