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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
2014.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-153911OAI: oai:DiVA.org:kth-153911DiVA: diva2:753890
Examiners
Available from: 2014-11-21 Created: 2014-10-09 Last updated: 2014-11-21Bibliographically approved

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fulltext(1211 kB)124 downloads
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44c10d0a628d6098f38b640b39b14e66e98b1102ef00e74fea199fee7aab613915aefc32c6367968ae0228dde3c37041fc3a53139d13045338da5a1b530625e3
Type fulltextMimetype application/pdf

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