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Enhancing User Requirement Intake Using Natural Language Processing
Rentala, Rohit Kalyan
Blekinge Institute of Technology.
2023 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2023.
National Category
Software Engineering
Identifiers
URN:
urn:nbn:se:bth-24358
OAI: oai:DiVA.org:bth-24358
DiVA, id:
diva2:1742132
Subject / course
PA2534 Master's Thesis (120 credits) in Software Engineering
Educational program
PAADA Master Qualification Plan in Software Engineering 120,0 hp
Examiners
Unterkalmsteiner, Michael
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Available from:
2023-03-08
Created:
2023-03-08
Last updated:
2023-03-25
Bibliographically approved
Open Access in DiVA
Enhancing User Requirement Intake Using Natural Language Processing
(2374 kB)
528 downloads
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FULLTEXT01.pdf
File size
2374 kB
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621e8c1ff3e5bb622f44bb4f9d0bc834574be5d249ae29f30a6f6384ebd02c2d90f03bb1a3b0a31babe9b5b73f146a5d85713dfeaaa5890b5272d5e1c419302f
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fulltext
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Blekinge Institute of Technology
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Software Engineering
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Total: 528 downloads
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https://urn.kb.se/resolve?urn=urn:nbn:se:bth-24358
Direct link
http://bth.diva-portal.org/smash/record.jsf?pid=diva2:1742132
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
Other style
apa
ieee
modern-language-association-8th-edition
vancouver
Other style
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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html
text
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rtf
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