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dc.contributor.authorAcanfora, Joseph
dc.contributor.authorEvangelista, Marc
dc.contributor.authorKeimig, David
dc.contributor.authorSu, Myron
dc.date.accessioned2014-12-13T23:19:33Z
dc.date.available2014-12-13T23:19:33Z
dc.date.issued2014-12
dc.identifier.citationNSF DUE-1141209 and IIS-1319578en_US
dc.identifier.urihttp://hdl.handle.net/10919/51134
dc.description"Flood Presentation" in both PowerPoint and PDF formats is from the final in-class presentation. Floods_Group_H.pdf is the PDF version of the final report document. LatexDocument.zip has the original version of that document.en_US
dc.description.abstractIn the event of a natural disaster like a flood, news outlets are in a rush to produce coverage for the general public. People may want a clear, concise summary of the event without having to read through hundreds of documents describing the event in different ways. The report of our work describes how to use computation techniques in Natural Language Processing (NLP) to automatically generate a summary on an instance of a flood event given a collection of diverse text documents. The body of this document covers NLP topics and techniques utilizing the NLTK Python library and Apache Hadoop to analyze and summarize a corpus. While this document describes the usage of such tools, it does not give an in-depth explanation of how these tools work, but rather focuses on their application to generating a summary of a flood event.en_US
dc.description.sponsorshipNSF DUE-1141209 and IIS-1319578en_US
dc.language.isoenen_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectNatural Language Processingen_US
dc.subjectFloodingen_US
dc.subjectmachine learningen_US
dc.subjectnamed entity recognitionen_US
dc.subjectNERen_US
dc.subjectHadoopen_US
dc.subjectMahouten_US
dc.subjectBig Dataen_US
dc.subjectNLTKen_US
dc.titleNatural Language Processing: Generating a Summary of Flood Disastersen_US
dc.typePresentationen_US
dc.typeTechnical reporten_US


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CC0 1.0 Universal
License: CC0 1.0 Universal