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Bibliographische Detailangaben
Hauptverfasser: Kapitsaki Georgia, Tselikas, Nikolaos, Kyriakou Kyriakos-Ioannis, Papoutsoglou, Maria
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2022
Schlagworte:
Online-Zugang:https://doi.org/10.5281/zenodo.6580171
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Inhaltsangabe:
  • <p>This dataset contains the posts of Open Source Stack Exchange site, collected at the end of 2020, along with the categorization of the posts. For each post a category, and potentially a second one is indicated, along with the cluster (generic group) each category belongs to. The coding task of assigning each question to a category was performed by two independent coders for each question (the categorization of each coder is also provided in the dataset). The dataset contains also (in a separate file) a dictionary of the most correlated unigrams and bigrams per category.</p>