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Replication package for identify bot comments

Mehdi Golzadeh; Alexandre Decan; Eleni Constantinou; Tom Mens


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  <identifier identifierType="DOI">10.5281/zenodo.4580998</identifier>
  <creators>
    <creator>
      <creatorName>Mehdi Golzadeh</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1041-439X</nameIdentifier>
      <affiliation>University of Mons</affiliation>
    </creator>
    <creator>
      <creatorName>Alexandre Decan</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5824-5823</nameIdentifier>
      <affiliation>University of Mons</affiliation>
    </creator>
    <creator>
      <creatorName>Eleni Constantinou</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4242-2581</nameIdentifier>
      <affiliation>Eindhoven University of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Tom Mens</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3636-5020</nameIdentifier>
      <affiliation>University of Mons</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Replication package for identify bot comments</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>GitHub, automated comments, distributed software development, classification model, empirical analysis</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-05-22</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4580998</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4580393</relatedIdentifier>
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  <version>1.0.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This repository contains the replication package for our study about identifying bots at the level of their activity in GitHub submitted to BotSE&amp;#39;21 conference (*&amp;quot;Identifying bot activity in GitHub pull request and issue comments&amp;quot;*).&lt;br&gt;
A link to the paper will be added to this README as soon as the paper is accepted.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Ground-truth dataset&lt;/strong&gt;&lt;br&gt;
The dataset is extracted from the ground-truth dataset of our study about [identifying bots](https://arxiv.org/abs/2010.03303) published in JSS journal.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Replication package&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;A- Dataset preparation.ipynb: This notebook splits the dataset to two disjoint set for training and test purposes. To avoid any conflict with GDPR regulations we&amp;#39;ve anonymised the account name columns.&lt;/p&gt;

&lt;p&gt;B- Model construction.ipynb: We followed a Grid-search cross validation in this notebook to find the best classifier and construct the final mode. The replication package was originally created on Python 3.8&amp;nbsp; and the dependencies required to run these notebooks are listed in requirements.txt and can be automatically installed using pip install -r requirements.txt.&lt;/p&gt;

&lt;p&gt;C- Model evaluation.ipynb: this notebook contains scripts to evaluate the classifier.&lt;/p&gt;</description>
  </descriptions>
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