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Natural language generated weather forecastfrom time series of weather data
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis intends to determine how people understandand feel about natural language generated sentences, in this case natural language generated forecasts. This was done by building a server that pulled raw weather information from SMHI api, analysed it and generated weather forecasts.For evaluation, a survey was made and from the resulta conclusion was drawn that people are able to both understand and correlate the sentences that was generated to its information.

Place, publisher, year, edition, pages
2014.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-157519OAI: oai:DiVA.org:kth-157519DiVA: diva2:770354
Examiners
Available from: 2014-12-11 Created: 2014-12-10 Last updated: 2014-12-11Bibliographically approved

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fulltext(737 kB)100 downloads
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File name FULLTEXT01.pdfFile size 737 kBChecksum SHA-512
a67f60cc405b2b9f1addfe87c0d8248e0aabb4e97fab47407181e65572a0c962d9234d714d53db0bf923d1b534e5b7fcb01c03473a3cbebd3758bb32e4033ae3
Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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Output format
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