Please use this identifier to cite or link to this item: http://dspace.lib.uom.gr/handle/2159/29653
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dc.contributor.advisorΑμπατζόγλου, Απόστολοςel
dc.contributor.authorΜαργαριτόπουλος, Στέργιοςel
dc.date.accessioned2023-11-03T07:03:25Z-
dc.date.available2023-11-03T07:03:25Z-
dc.date.issued2023el
dc.identifier.urihttp://dspace.lib.uom.gr/handle/2159/29653-
dc.descriptionΔιπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2023.el
dc.description.abstractIn recent years, the fields of data science and data analytics have experienced a remarkable surge, primarily fueled by the ever-increasing demand for valuable insights derived from data. Professionals in this domain are increasingly turning to community-driven platforms such as Stack Overflow to facilitate knowledge sharing and collaborative problem-solving. This master’s thesis embarks on the exploration of the dynamic landscape of data science and data analytics, conducting an analysis of the prevailing and actively discussed questions within the Stack Overflow platform. By closely examining these inquiries and identifying emerging trends, this study aims to offer invaluable insights that have the potential to empower not only data analytics practitioners but also enrich the broader community.en
dc.format.extent43el
dc.language.isoenen
dc.publisherΠανεπιστήμιο Μακεδονίαςel
dc.rightsAttribution-NoDerivatives 4.0 Διεθνέςel
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/en
dc.subjectData scienceen
dc.subjectData analyticsen
dc.subjectStack overflowen
dc.subjectTopic modelingen
dc.subjectWord clouden
dc.subjectNLPen
dc.titleAnalyzing trends in data science and data analytics using the stack overflow platformen
dc.typeElectronic Thesis or Dissertationen
dc.typeTexten
dc.contributor.departmentΠρόγραμμα Μεταπτυχιακών Σπουδών Ειδίκευσης στην Εφαρμοσμένη Πληροφορικήel
Appears in Collections:Π.Μ.Σ. στην Εφαρμοσμένη Πληροφορική (M)

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