Exploitation of social media for emergency relief and preparedness: Recent research and trends

S Ghosh, K Ghosh, D Ganguly, T Chakraborty… - Information Systems …, 2018 - Springer
Abstract Online Social Media, such as Twitter, Facebook and WhatsApp, are important
sources of real-time information related to emergency events, including both natural …

Detecting fake news for reducing misinformation risks using analytics approaches

C Zhang, A Gupta, C Kauten, AV Deokar… - European Journal of …, 2019 - Elsevier
Fake news is playing an increasingly dominant role in spreading misinformation by
influencing people's perceptions or knowledge to distort their awareness and decision …

Class specific TF-IDF boosting for short-text classification: Application to short-texts generated during disasters

S Ghosh, MS Desarkar - Companion Proceedings of the The Web …, 2018 - dl.acm.org
Proper formulation of features plays an important role in short-text classification tasks as the
amount of text available is very little. In literature, Term Frequency-Inverse Document …

Identification of medical resource tweets using majority voting-based ensemble during disaster

S Madichetty - Social Network Analysis and Mining, 2020 - Springer
During disaster, detecting tweets related to the target event is a challenging task.
Earthquake, floods, tsunami, etc., are the examples for target event. Prior to several studies …

Graph neural network enhanced language models for efficient multilingual text classification

S Ghosh, S Maji, MS Desarkar - arXiv preprint arXiv:2203.02912, 2022 - arxiv.org
Online social media works as a source of various valuable and actionable information
during disasters. These information might be available in multiple languages due to the …

Overview of the fire 2018 track: Information retrieval from microblogs during disasters (irmidis)

M Basu, S Ghosh, K Ghosh - Proceedings of the 10th annual meeting of …, 2018 - dl.acm.org
In countries like the US, European countries, Australia and Japan, user-generated content
from microblogging sites is extensively used for crowdsourcing actionable information …

Utilizing social media for emergency response: a tweet classification system using attention-based BiLSTM and CNN for resource management

R Koshy, S Elango - Multimedia Tools and Applications, 2024 - Springer
During disasters and emergencies, microblogging platforms like Twitter are crucial sources
of real-time information. With so much verbal content present during such situations, it is …

Information retrieval from microblogs during disasters: In the light of irmidis task

M Basu, K Ghosh, S Ghosh - SN Computer Science, 2020 - Springer
In last few years, microblogging sites like Twitter have been evolved as a repository of
critical situational information during various mass emergencies. However, messages …

GNoM: graph neural network enhanced language models for disaster related multilingual text classification

S Ghosh, S Maji, MS Desarkar - Proceedings of the 14th ACM Web …, 2022 - dl.acm.org
Online social media works as a source of various valuable and actionable information
during disasters. These information might be available in multiple languages due to the …

Extraction of named entities from social media text in tamil language using N-gram embedding for disaster management

GR Devi, MA Kumar, KP Soman - … in Data Mining and Machine Learning, 2020 - Springer
In the present era, data in any form is considered with greater importance. More specifically,
text data has rich and brief information than any other form of data. Extraction and analysis of …