Change search
ReferencesLink to record
Permanent link

Direct link
Machine Learning to handle customer issues
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Amadeus is providing solutions to travel businesses. Today, messages from customers are received by one team who dispatches them manually.This team is making a lot of mistakes. The purpose of this thesisis to study, design and prototype a tool to analyse automatically these messages and send them to the right team. This paper studies differentsmachine learning methods to learn the classification from previous messages.Besides, we will use several text processing optimisation methods to improve our results.

Place, publisher, year, edition, pages
National Category
Computer Science
URN: urn:nbn:se:kth:diva-153911OAI: diva2:753890
Available from: 2014-11-21 Created: 2014-10-09 Last updated: 2014-11-21Bibliographically approved

Open Access in DiVA

fulltext(1211 kB)86 downloads
File information
File name FULLTEXT01.pdfFile size 1211 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
School of Computer Science and Communication (CSC)
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 86 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 257 hits
ReferencesLink to record
Permanent link

Direct link