Natural language processing for smart construction: Current status and future directions
Unstructured texts dominate data in construction projects. With the achievements of natural
language processing (NLP) techniques, mining unstructured text data for smart construction …
language processing (NLP) techniques, mining unstructured text data for smart construction …
Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges
The idea of 'citizen as sensors' has gradually become a reality over the past decade. Today,
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model
R Koshy, S Elango - Neural Computing and Applications, 2023 - Springer
The goal of this research is to use social media to gain situational awareness in the wake of
a crisis. With the developments in information and communication technologies, social …
a crisis. With the developments in information and communication technologies, social …
Exploring the potential of social media crowdsourcing for post-earthquake damage assessment
Following disaster events, a significant hindrance to emergency response is a lack of
information on the spatial extent and severity of damages. Social media crowdsourcing has …
information on the spatial extent and severity of damages. Social media crowdsourcing has …
Multi-modal classification of Twitter data during disasters for humanitarian response
S Madichetty, S Muthukumarasamy… - Journal of ambient …, 2021 - Springer
In recent days, humanitarian organizations rely on social media like Twitter for situational
awareness during the disaster. Millions of tweets are posted on Twitter in the form of text or …
awareness during the disaster. Millions of tweets are posted on Twitter in the form of text or …
A deep learning-based social media text analysis framework for disaster resource management
Social media has evolved itself as a significant tool used by people for information spread
during emergencies like natural or man-made disasters. Real-time analysis of this huge …
during emergencies like natural or man-made disasters. Real-time analysis of this huge …
Classifying informative and non-informative tweets from the twitter by adapting image features during disaster
S Madichetty - Multimedia Tools and Applications, 2020 - Springer
During the crisis, people post a large number of informative and non-informative tweets on
Twitter. Informative tweets provide helpful information such as affected individuals …
Twitter. Informative tweets provide helpful information such as affected individuals …
On detecting urgency in short crisis messages using minimal supervision and transfer learning
M Kejriwal, P Zhou - Social Network Analysis and Mining, 2020 - Springer
Humanitarian disasters have been on the rise in recent years due to the effects of climate
change and socio-political situations such as the refugee crisis. Technology can be used to …
change and socio-political situations such as the refugee crisis. Technology can be used to …
Classification of crisis-related data on Twitter using a deep learning-based framework
In recent years, many citizens use social media platforms like Twitter to share and get the
most up-to-date information regarding crisis events such as natural and man-made crisis …
most up-to-date information regarding crisis events such as natural and man-made crisis …
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 …
Earthquake, floods, tsunami, etc., are the examples for target event. Prior to several studies …