Data Classification and Extraction of Weather Reports Public Deposited

http://ir.library.oregonstate.edu/concern/defaults/7d278z73x

Graduation date: 2016

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  • Severe weather in the United States causes huge insured losses to crop and property frequently.It creates major impact and elicit diverse response in the weather insurance industry. Events like hail, storm, hurricane etc. are more likely to cause catastrophe losses. So it becomes crucial to collect and analyze these extreme weather information. Thus, weather data collection and analysis can be used to define the impacts and responses to extreme weather and to suggest ways that the atmospheric sciences community could work with and assist the industry. We introduce a data pipeline, which consists of three components: extract weather information from nonstructured report data, classify each record into different weather events, and finally store these records into a database for research use. The project mainly focuses on the first two components: text classification and information extraction.
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  • description.provenance : Made available in DSpace on 2015-12-10T14:56:29Z (GMT). No. of bitstreams: 1 QinRui2015.pdf: 495329 bytes, checksum: 9e69cea0a1d3c19632d74ff10e7cd0e7 (MD5) Previous issue date: 2015-12-09
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