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Experimental datasets for sentiment analysis and emotion mining - Emotion Mining Toolkit (EMTk)

Fabio Calefato; Filippo Lanubile; Nicole Novielli


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.2575509", 
  "language": "eng", 
  "title": "Experimental datasets for sentiment analysis and emotion mining - Emotion Mining Toolkit (EMTk)", 
  "issued": {
    "date-parts": [
      [
        2019, 
        2, 
        22
      ]
    ]
  }, 
  "abstract": "<p><strong>Description</strong></p>\n\n<p>Datasets for sentiment analysis and emotion mining, distributed with the Emotion Mining Toolkit (EMTk) Docker container (see <a href=\"https://collab-uniba.github.io/EMTk\">https://collab-uniba.github.io/EMTk</a> for more):</p>\n\n<ul>\n\t<li>Stack Overflow - A couple of gold standards of 4,000+ posts, manually annotated for mining both emotions and polarity.</li>\n\t<li>Jira - A gold standard of ~4,000 issues, manually annotated for emotions.</li>\n</ul>\n\n<p><strong>Citation</strong></p>\n\n<p>Please, see the references below for the papers to cite. Do not cite this Zenodo upload directly.</p>", 
  "author": [
    {
      "family": "Fabio Calefato"
    }, 
    {
      "family": "Filippo Lanubile"
    }, 
    {
      "family": "Nicole Novielli"
    }
  ], 
  "version": "v1.0", 
  "type": "dataset", 
  "id": "2575509"
}
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