Mapping near-real-time power outages from social media

References

• Bengio Y., P. Simard, and P. Frasconi. 1994. “Learning Long-Term Dependencies with Gradient Descent Is Difficult.” IEEE Transactions on Neural Networks 5 (2): 157–166. doi: 10.1109/72.279181
   PubMed Web of Science ®Google Scholar
• Boulton C. A., H. Shotton, and H. T. Williams. 2016. “Using Social Media to Detect and Locate Wildfires.” Tenth International AAAI Conference on Web and Social Media.
   Google Scholar
• Chai J., Y. Liu, J. Guo, L. Wu, D. Zhou, W. Yao, Y. Liu, T. King, J. R. Gracia, and M. Patel. 2016. “Wide-Area Measurement Data Analytics Using FNET/GridEye: A Review.” Power Systems Computation Conference (PSCC), 2016, 1–6.
   Google Scholar
• Chen S. J., T. S. Zhan, C. H. Huang, J. L. Chen, and C. H. Lin. 2015. “Nontechnical Loss and Outage Detection Using Fractional-Order Self-Synchronization Error-Based Fuzzy Petri Nets in Micro-Distribution Systems.” IEEE Transactions on Smart Grid 6 (1): 411–420. doi: 10.1109/TSG.2014.2345780
   Web of Science ®Google Scholar
• Collobert R., J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa. 2011 August. Natural Language Processing (Almost) from Scratch. Journal of Machine Learning Research 12: 2493–2537.
   Web of Science ®Google Scholar
• Dernoncourt F., J. Y. Lee, and P. Szolovits. 2017. “NeuroNER: An Easy-to-Use Program for Named-Entity Recognition Based on Neural Networks.” Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Copenhagen: Association for Computational Linguistics, 97–102.
   Google Scholar
• Finkel J. R., T. Grenager, and C. Manning. 2005. “Incorporating Non-Local Information into Information Extraction Systems by Gibbs Sampling.” Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, 363–370.
   Google Scholar
• Gelernter Judith, and Shilp Balaji. 2013. “An Algorithm for Local Geoparsing of Microtext.” GeoInformatica 17 (4): 635–667. doi: 10.1007/s10707-012-0173-8
   Web of Science ®Google Scholar
• Gelernter Judith, and Nikola Mushegian. 2011. “Geo-Parsing Messages from Microtext.” Transactions in GIS 15 (6): 753–773. doi: 10.1111/j.1467-9671.2011.01294.x
   Web of Science ®Google Scholar
• Goodchild Michael F. 2007. “Citizens as Sensors: The World of Volunteered Geography.” GeoJournal69 (4): 211–221. doi: 10.1007/s10708-007-9111-y
   Google Scholar
• Graves A., and J. Schmidhuber. 2005. “Framewise Phoneme Classification with Bidirectional LSTM Networks.” Neural Networks, 2005. Proceedings of IJCNN'05., Vol. 4, 2047–2052.
   Google Scholar
• Hochreiter S., and J. Schmidhuber. 1997. “Long Short-Term Memory.” Neural Computation, 9 (8): 1735–1780. doi: 10.1162/neco.1997.9.8.1735
   PubMed Web of Science ®Google Scholar
• Hu Yingjie, Huin. Mao, and Gran McKenzie. 2018. “A Natural Language Processing and Geospatial Clustering Framework for Harvesting Local Place Names from Geotagged Housing Advertisements.” International Journal of Geographical Information Science 1–25.
   Web of Science ®Google Scholar
• Huang Q., and Y. Xiao. 2015. “Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery.” ISPRS International Journal of Geo-Information 4 (3): 1549–1568. doi: 10.3390/ijgi4031549
   Web of Science ®Google Scholar
• Huang Z., W. Xu, and K. Yu. 2015. “Bidirectional Lstm-Crf Models for Sequence Tagging.” arXiv preprint arXiv:1508.01991.
   Google Scholar
• Jones Christopher B., and Ross S. Purves. 2009. “Geographical Information Retrieval.” Encyclopedia of Database Systems, 1227–1231. Springer.
   Google Scholar
• Kinsella Sheila, Vaness Murdock, and Nei O'Hare. 2011. “I'm Eating a Sandwich in Glasgow: Modeling Locations with Tweets.” Proceedings of the 3rd International Workshop on Search and Mining User-generated Contents, 61–68. ACM.
   Google Scholar
• Lample G., M. Ballesteros, S. Subramanian, K. Kawakami, and C. Dyer. 2016. “Neural Architectures for Named Entity Recognition”. Proc. NAACL-HLT.
   Google Scholar
• LeCun Yann, Yoshu Bengio, and Geoffre Hinton. 2015. “Deep Learning.” Nature 521 (7553): 436. doi: 10.1038/nature14539
   PubMed Web of Science ®Google Scholar
• Lee K., J.y. Shin, and R. Zadeh. 2013. “ Twitter's Effectiveness on Blackout Detection During Hurricane Sandy.”
   Google Scholar
• Leidner Jochen L., and Michael D. Lieberman. 2011. “Detecting Geographical References in the Form of Place Names and Associated Spatial Natural Language.” SIGSPATIAL Special 3 (2): 5–11. doi: 10.1145/2047296.2047298
   Google Scholar
• Li Rui, Shengji Wang, and Kevin Chen-Chua Chang. 2012. “Multiple Location Profiling for Users and Relationships from Social Network and Content.” Proceedings of the VLDB Endowment 5 (11): 1603–1614. doi: 10.14778/2350229.2350273
   Google Scholar
• Lingad J., S. Karimi, and J. Yin. 2013. “Location Extraction from Disaster-Related Microblogs.” Proceedings of the 22nd International Conference on World Wide Web, 1017–1020.
   Google Scholar
• Liu Y., and N. N. Schulz. 2002. “Knowledge-Based System for Distribution System Outage Locating Using Comprehensive Information.” IEEE Transactions on Power Systems 17 (2): 451–456. doi: 10.1109/TPWRS.2002.1007917
   Web of Science ®Google Scholar
• Malmasi S., and M. Dras. 2015. “Location Mention Detection in Tweets and Microblogs.” International Conference of the Pacific Association for Computational Linguistics, 123–134.
   Google Scholar
• Middleton S. E., L. Middleton, and S. Modafferi. 2014. “Real-Time Crisis Mapping of Natural Disasters Using Social Media.” IEEE Intelligent Systems 29 (2): 9–17. doi: 10.1109/MIS.2013.126
   Web of Science ®Google Scholar
• Molla D., and S. Karimi. 2014. “Overview of the 2014 ALTA Shared Task: Identifying Expressions of Locations in Tweets.” Australasian Language Technology Association Workshop 2014, 151.
   Google Scholar
• Monteiro Bruno R., Clodoveu A. Davis Jr, and Fre Fonseca. 2016. “A Survey on the Geographic Scope of Textual Documents.” Computers & Geosciences 96: 23–34. doi: 10.1016/j.cageo.2016.07.017
   Web of Science ®Google Scholar
• Pennington J., R. Socher, and C. D. Manning. 2014. “Glove: Global Vectors for Word Representation.” EMNLP 14: 1532–1543.
   Google Scholar
• Platt J. 1999. “Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods.” Advances in Large Margin Classifiers 10 (3): 61–74.
   Google Scholar
• Sakaki T., M. Okazaki, and Y. Matsuo. 2010. “Earthquake Shakes Twitter Users: Real-Time Event Detection by Social Sensors.” Proceedings of the 19th International Conference on World Wide Web, 851–860.
   Google Scholar
• Santos C. D., and B. Zadrozny. 2014. “Learning Character-Level Representations for Part-of-Speech Tagging.” Proceedings of the 31st International Conference on Machine Learning (ICML-14), 1818–1826.
   Google Scholar
• Sparck Jones K. 1972. “A Statistical Interpretation of Term Specificity and Its Application in Retrieval.” Journal of Documentation 28 (1): 11–21. doi: 10.1108/eb026526
   Web of Science ®Google Scholar
• Sun H., Z. Wang, J. Wang, Z. Huang, N. Carrington, and J. Liao. 2016. “Data-Driven Power Outage Detection by Social Sensors.” IEEE Transactions on Smart Grid 7 (5): 2516–2524. doi: 10.1109/TSG.2016.2546181
   Web of Science ®Google Scholar
• Takeichi Y., K. Sasahara, R. Suzuki, and T. Arita. 2014. “Twitter as Social Sensor: Dynamics and Structure in Major Sporting Events.” Artificial Life 14: 778–784.
   Google Scholar
• Thakur G. S., B. L. Bhaduri, J. O. Piburn, K. M. Sims, R. N. Stewart, and M. L. Urban. 2015. “PlanetSense: A Real-Time Streaming and Spatio-Temporal Analytics Platform for Gathering Geo-Spatial Intelligence from Open Source Data. Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 11.
   Google Scholar
• U.S. Department of Energy. 2014. “The Development of EAGLE-I: The First-Ever Technology to Track Power Outages Nationwide. Accessed February 15, 2017. https://energy.gov/articles/development-eagle-i-first-ever-technology-track-power-outages-nationwide.
   Google Scholar