Microblogging sites like Twitter have become important sources of real-time situational information during disaster events. A large amount of valuable situational information is posted in these sites during disasters; however, this information is dispersed among hundreds of thousands of tweets containing sentiments and opinion of the masses. To effectively utilize microblogging sites during disaster events, two tasks are essential – (i) It is necessary to not only extract the situational information from among the large amounts of sentiment and opinion (ii) Summarize the situational information to help decision-making processes when time is critical. We need a framework which first classifies tweets to extract situational information, and then summarizes the information. Apart from that, there exist certain peculiarities related to disaster events like (i) The same tweet often contains a mixture of situational and non-situational information, (ii) Certain numerical information, such as number of casualties, vary rapidly with time. It is useful to first segregate different parts of a tweet and this step significantly helps further classification and summarization framework. It is also observed that a sizable number of tweets are posted in local languages apart from English during disasters in developing countries. For example, during disaster events in India, a large number of tweets are posted in Hindi, Devanagari and some of the information contained in such non-English tweets is not available (or available at a later point of time) through English tweets. Hence, developing a novel classification/summarization framework which handles tweets in both English and Hindi is important from different societal aspects.
- Post-Disaster Situation Analysis and Resource Management Using Delay-Tolerant Peer-to-Peer Wireless Networks
Duration: September 2013 — ongoing
Funding agency: ITRA, Media Labs Asia and DEITY, Government of India
- Utilising Social Media for Disaster Relief: Linguistic Analysis and Matching of Resource Requests and Offers on Twitter
Duration: June 2017 – ongoing
Funding agency: Microsoft Research India
- Utilising Online Social Media for Understanding and Countering Disease Outbreak
Duration: July 2017 – ongoing
Funding agency: Accenture Corporation
- Koustav Rudra, Subham Ghosh, Pawan Goyal, Niloy Ganguly, and Saptarshi Ghosh. 2015. Extracting Situational Information from Microblogs during Disaster Events: A Classification-Summarization Approach. In Proc. ACM CIKM.
- Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, and Prasenjit Mitra. 2016. Summarizing Situational Tweets in Crisis Scenario. In Proceedings of the 27th ACM Conference on Hypertext and Social Media. ACM, 137–147.
- Koustav Rudra, Ashish Sharma, Niloy Ganguly, and Saptarshi Ghosh. 2016. Characterizing Communal Microblogs during Disaster Events. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) [short paper]
- Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, and Prasenjit Mitra. 2016. Summarizing Situational and Topical Information During Crises. SWDM, Workshop of CIKM, 2016
- Moumita Basu, Saptarshi Ghosh, Arnab Jana, Somprakash Bandyopadhyay, Dr. Ravikant Singh. Medical Requirements During a Natural Disaster: A Case Study on WhatsApp Chats among Medical Personnel during the 2015 Nepal Earthquake. Disaster Medicine and Public Health Preparedness, Cambridge University Press, vol. 13, pp. 1-4, June 2017.
- Moumita Basu, Saptarshi Ghosh, Arnab Jana, Somprakash Bandyopadhyay, Dr. Ravikant Singh. Resource Mapping During a Natural Disaster: A Case Study on the 2015 Nepal Earthquake. International Journal of Disaster Risk Reduction, Elsevier, vol. 24, pp. 24-31, May 2017.
- Prannay Khosla, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh. Microblog Retrieval for Post-Disaster Relief: Applying and Comparing Neural IR Models. ACM SIGIR Workshop on Neural Information Retrieval, Tokyo, Japan, August 2017.
- ITRA, Media Labs Asia and DEITY, Government of India
- Microsoft Research India
- Accenture Corporation
Members and Collaboration:
- Niloy Ganguly
- Saptarshi Ghosh
- Koustav Rudra
- Ashish Sharma
- Pawan Goyal
- Siddhartha Banerjee
- Prasenjit Mitra
- Muhammad Imran
- Shalmoli Ghosh