Extracting Particular Information from Swedish Public Procurement Using Machine Learning

Extracting Particular Information from Swedish Public Procurement Using Machine Learning

The Swedish procurement process has a yearly value of 706 Billion SEK over approximately 18 000 procurements. With each process comes many documents written in different formats that need to be understood to be able to be a possible tender. With the development of new technology and the age of Machi...

Full description

Bibliographic Details
Main Author: Waade, Eystein
Format: Others
Language:English
Published: Uppsala universitet, Avdelningen för systemteknik 2020
Subjects:
Machine Learning
Conditional Random Field
procurement
Natural Language Processing
segmentation
maskininlärning
offentlig upphandling
maskinlæring
offentlig anskaffelse
Engineering and Technology
Teknik och teknologier
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414562

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414562

Similar Items