Sentiment analysis during Hurricane Sandy in emergency response VK Neppalli, C Caragea, A Squicciarini, A Tapia, S Stehle International journal of disaster risk reduction 21, 213-222, 2017 | 225 | 2017 |
Mapping moods: Geo-mapped sentiment analysis during hurricane sandy. C Caragea, AC Squicciarini, S Stehle, K Neppalli, AH Tapia ISCRAM, 2014 | 191 | 2014 |
Twitter Mining for Disaster Response: A Domain Adaptation Approach. H Li, N Guevara, N Herndon, D Caragea, K Neppalli, C Caragea, ... ISCRAM, 2015 | 103 | 2015 |
Deep neural networks versus naive bayes classifiers for identifying informative tweets during disasters VK Neppalli, C Caragea, D Caragea Proceedings of the 15th Annual Conference for Information Systems for Crisis …, 2018 | 59 | 2018 |
Retweetability Analysis and Prediction during Hurricane Sandy. VK Neppalli, MC Medeiros, C Caragea, D Caragea, AH Tapia, SE Halse ISCRAM, 2016 | 26 | 2016 |
Embracing human noise as resilience indicator: twitter as power grid correlate N LaLone, A Tapia, C Zobel, C Caraega, VK Neppalli, S Halse Sustainable and Resilient Infrastructure 2 (4), 169-178, 2017 | 17 | 2017 |
Predicting tweet retweetability during hurricane disasters VK Neppalli, C Caragea, D Caragea, MC Medeiros, AH Tapia, SE Halse International Journal of Information Systems for Crisis Response and …, 2016 | 8 | 2016 |
MetaSeer. STEM: Towards automating meta-analyses K Neppalli, C Caragea, R Mayes, K Nimon, F Oswald Proceedings of the AAAI Conference on Artificial Intelligence 30 (2), 4035-4040, 2016 | 2 | 2016 |
Extracting Useful Information from Social Media During Disaster Events VK Neppalli University of North Texas, 2017 | | 2017 |