Machine Learning to handle customer issues

Machine Learning to handle customer issues

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...

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Bibliographic Details
Main Author: POMIER, ROMAIN
Format: Others
Language:English
Published: KTH, Skolan för datavetenskap och kommunikation (CSC) 2014
Subjects:
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153911
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spelling ndltd-UPSALLA1-oai-DiVA.org-kth-1539112018-01-12T05:09:55ZMachine Learning to handle customer issuesengPOMIER, ROMAINKTH, Skolan för datavetenskap och kommunikation (CSC)2014Computer SciencesDatavetenskap (datalogi)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. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153911application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Computer Sciences
Datavetenskap (datalogi)
spellingShingle Computer Sciences
Datavetenskap (datalogi)
POMIER, ROMAIN
Machine Learning to handle customer issues
description 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.
author POMIER, ROMAIN
author_facet POMIER, ROMAIN
author_sort POMIER, ROMAIN
title Machine Learning to handle customer issues
title_short Machine Learning to handle customer issues
title_full Machine Learning to handle customer issues
title_fullStr Machine Learning to handle customer issues
title_full_unstemmed Machine Learning to handle customer issues
title_sort machine learning to handle customer issues
publisher KTH, Skolan för datavetenskap och kommunikation (CSC)
publishDate 2014
url http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153911
work_keys_str_mv AT pomierromain machinelearningtohandlecustomerissues
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