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Relevance and Sentiment of YouTube Comments of a Vision Video

Kristo Eklekta


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>This dataset contains all comments of the YouTube vision video <a href=\"/home/eklekta/Schreibtisch/Bachelorarbeit/YouTube Comments Dataset/Final Dataset/spam_or_ham_and_sentiment_v1.csv\">&quot;Tunnels&quot; by &quot;The Boring Company&quot;</a> fetched on 2020-10-13 using YouTube API. The comments are classified manually by three persons according to their relevance for the requirement analysis process (Spam/Ham) and according to their sentiment (positive/neutral/negative).</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Computer Science Student", 
      "@type": "Person", 
      "name": "Kristo Eklekta"
    }
  ], 
  "url": "https://zenodo.org/record/4533302", 
  "datePublished": "2021-02-11", 
  "version": "version 1", 
  "keywords": [
    "YouTube Comments", 
    "Sentiment Analysis", 
    "Vision Video", 
    "Ham-Spam Classification"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/a98e2576-503c-4ef9-ae6c-031d0dd8be15/spam_or_ham_and_sentiment_version1.csv", 
      "encodingFormat": "csv", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.4533302", 
  "@id": "https://doi.org/10.5281/zenodo.4533302", 
  "@type": "Dataset", 
  "name": "Relevance and Sentiment of YouTube Comments of a Vision Video"
}
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