{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:11Z","timestamp":1750220831434,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":8,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,8,19]],"date-time":"2019-08-19T00:00:00Z","timestamp":1566172800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,8,19]]},"DOI":"10.1145\/3340964.3340985","type":"proceedings-article","created":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T19:51:28Z","timestamp":1565985088000},"page":"190-193","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["NiPred"],"prefix":"10.1145","author":[{"given":"Long H.","family":"Nguyen","sequence":"first","affiliation":[{"name":"Texas Tech University, Lubbock, Texas"}]},{"given":"Siyuan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Texas Tech University, Lubbock, Texas"}]},{"given":"Hashim","family":"Abu-gellban","sequence":"additional","affiliation":[{"name":"Texas Tech University, Lubbock, Texas"}]},{"given":"Hanxiang","family":"Du","sequence":"additional","affiliation":[{"name":"Texas Tech University, Lubbock, Texas"}]},{"given":"Fang","family":"Jin","sequence":"additional","affiliation":[{"name":"Texas Tech University, Lubbock, Texas"}]}],"member":"320","published-online":{"date-parts":[[2019,8,19]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2016. Feature Union with Heterogeneous Data Sources. https:\/\/scikit-learn.org\/0.18\/auto_examples\/hetero_feature_union.html. Accessed: 2019-03-29.  2016. Feature Union with Heterogeneous Data Sources. https:\/\/scikit-learn.org\/0.18\/auto_examples\/hetero_feature_union.html. Accessed: 2019-03-29."},{"key":"e_1_3_2_1_2_1","volume-title":"Steven and Edward Loper","author":"Bird Ewan Klein","year":"2009","unstructured":"Ewan Klein Bird , Steven and Edward Loper . 2009 . Natural language processing with Python: analyzing text with the natural language toolkit. O'Reilly Media , Inc. Ewan Klein Bird, Steven and Edward Loper. 2009. Natural language processing with Python: analyzing text with the natural language toolkit. O'Reilly Media, Inc."},{"volume-title":"Big crisis data: social media in disasters and time-critical situations","author":"Castillo Carlos","key":"e_1_3_2_1_3_1","unstructured":"Carlos Castillo . 2016. Big crisis data: social media in disasters and time-critical situations . Cambridge University Press . Carlos Castillo. 2016. Big crisis data: social media in disasters and time-critical situations. Cambridge University Press."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2398674"},{"volume-title":"Feature extraction: foundations and applications","key":"e_1_3_2_1_5_1","unstructured":"Feature extraction: foundations and applications . Springer . et al. Guyon, Isabelle. 2008. Feature extraction: foundations and applications. Springer."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137602"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","volume":"1","author":"Varga Istv\u00e1n","year":"2013","unstructured":"Istv\u00e1n Varga , Motoki Sano , Kentaro Torisawa , Chikara Hashimoto , Kiyonori Ohtake , Takao Kawai , Jong-Hoon Oh , and Stijn De Saeger . 2013 . Aid is out there: Looking for help from tweets during a large scale disaster . In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Vol. 1 . 1619--1629. Istv\u00e1n Varga, Motoki Sano, Kentaro Torisawa, Chikara Hashimoto, Kiyonori Ohtake, Takao Kawai, Jong-Hoon Oh, and Stijn De Saeger. 2013. Aid is out there: Looking for help from tweets during a large scale disaster. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vol. 1. 1619--1629."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258166"}],"event":{"name":"SSTD '19: 16th International Symposium on Spatial and Temporal Databases","sponsor":["TU Wien TU Wien"],"location":"Vienna Austria","acronym":"SSTD '19"},"container-title":["Proceedings of the 16th International Symposium on Spatial and Temporal Databases"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340964.3340985","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340964.3340985","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:32Z","timestamp":1750202012000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340964.3340985"}},"subtitle":["Need Predictor for Hurricane Disaster Relief"],"short-title":[],"issued":{"date-parts":[[2019,8,19]]},"references-count":8,"alternative-id":["10.1145\/3340964.3340985","10.1145\/3340964"],"URL":"https:\/\/doi.org\/10.1145\/3340964.3340985","relation":{},"subject":[],"published":{"date-parts":[[2019,8,19]]},"assertion":[{"value":"2019-08-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}