144 citations · 569 across the 14 of their papers we have counts for
7 papers · 1 filter
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting
Muhammad Imran, Sanjay Chawla, Carlos Castillo
An emerging challenge in the online classification of social media data streams is to keep the categories used for classification up-to-date. In this paper, we propose an innovativ…
Summarizing Situational and Topical Information During Crises
Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly +3
The use of microblogging platforms such as Twitter during crises has become widespread. More importantly, information disseminated by affected people contains useful information li…
Applications of Online Deep Learning for Crisis Response Using Social Media Information
Dat Tien Nguyen, Shafiq Joty, Muhammad Imran +2
During natural or man-made disasters, humanitarian response organizations look for useful information to support their decision-making processes. Social media platforms such as Twi…
Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks
Dat Tien Nguyen, Kamela Ali Al Mannai, Shafiq Joty +3
The role of social media, in particular microblogging platforms such as Twitter, as a conduit for actionable and tactical information during disasters is increasingly acknowledged.…
Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages
Muhammad Imran, Prasenjit Mitra, Carlos Castillo
Microblogging platforms such as Twitter provide active communication channels during mass convergence and emergency events such as earthquakes, typhoons. During the sudden onset of…
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages
Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava
Rapid crisis response requires real-time analysis of messages. After a disaster happens, volunteers attempt to classify tweets to determine needs, e.g., supplies, infrastructure da…