Initiating a text mining project for handling customer feedbacks analysis

dc.contributor.authorVerneret, Alina
dc.contributor.departmentfi=Johtamisen ja yrittäjyyden laitos|en=Department of Management and Entrepreneurship|
dc.contributor.facultyfi=Turun kauppakorkeakoulu|en=Turku School of Economics|
dc.contributor.studysubjectfi=Tietojärjestelmätiede|en=Information Systems Science|
dc.date.accessioned2022-06-27T21:02:39Z
dc.date.available2022-06-27T21:02:39Z
dc.date.issued2022-06-20
dc.description.abstractThis research focuses on assessing the potential benefits related to implementing a text mining tool, inside the processes handling customer feedback analysis. This study will adopt both the perspectives of customers, and business, related to the processes of customer satisfaction reviews and analysis. The study has confirmed the following artifacts: 1. Text mining can leverage the use of customer unstructured text data. 2. Text mining can help optimizing some internal processes. 3. Co-creation of value can create new sources of knowledge flows across the organization and enhance the customer experience. Text mining has the potential to subsequently optimize both the processes, and the customer experience as a whole.
dc.format.extent81
dc.identifier.olddbid171395
dc.identifier.oldhandle10024/154497
dc.identifier.urihttps://www.utupub.fi/handle/11111/23616
dc.identifier.urnURN:NBN:fi-fe2022062750058
dc.language.isoeng
dc.rightsfi=Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.|en=This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.|
dc.rights.accessrightssuljettu
dc.source.identifierhttps://www.utupub.fi/handle/10024/154497
dc.subjectText mining, Natural Language Processes, CSAT surveys
dc.titleInitiating a text mining project for handling customer feedbacks analysis
dc.type.ontasotfi=Pro gradu -tutkielma|en=Master's thesis|

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