Session 6 - Machine learning and NLP for EM

Date: Friday October 26th

Papers:

1) Neppalli, Venkata K., et al., 2017, Sentiment analysis during Hurricane Sandy in emergency response, International journal of disaster risk reduction, Vol. 21, PP: 213-222, File:P1a.pdf.
2) Burel, Grégoire, Hassan Saif, and Harith Alani, 2017, Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media, International Semantic Web Conference, PP: 138-155, File:P2a.pdf.
3) Verma, Sudha, et al., 2011, Natural Language Processing to the Rescue? Extracting “Situational Awareness” Tweets During Mass Emergency , Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, PP:1--8, File:P3a.pdf
4) Shen, Shi, et al., 2017, Information retrieval of a disaster event from cross-platform social media, International journal of Information Discovery and Delivery, Vol. 45(4), PP: 220-226. File:P4a.pdf
5) Francesco Tarasconi, Michela Farina, Antonio Mazzei, Alessio Bosca, 2017, The Role of Unstructured Data in Real-Time Disaster-related Social Media Monitoring, IEEE International Conference on Big Data, PP:1--10, File:P6a.pdf.
6) Michael Aupetit et al., 2017, Interactive Monitoring of Critical Situational Information on Social Media, Proceedings of the 14th ISCRAM Conference, PP:1--11, File:P7a.pdf
7) Avvenuti, M., Cresci, S., Del Vigna, F., Fagni, T., & Tesconi, M., 2018, CrisMap: a Big Data Crisis Mapping System Based on Damage Detection and Geoparsing, Information Systems Frontiers, PP: 1-19, File:P11.pdf
8) Ngamassi et al., 2017, Social Media Visual Analytic Toolkits for Disaster Management: A Review of the Literature, Proceedings of the 14th ISCRAM Conference, PP: 1--13, File:P10a.pdf

Suitable readings:

Paper presentations by you:
- Paper 1: ' Presentation slides from
- Paper 2: ' Presentation slides from

Slides: Session-6: File:ML-IVD.pdf

Useful Links: