Conference paper Open Access

Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text

Bharathi Raja Chakravarth; Ruba Priyadharshini; Vigneshwaran Muralidaran; Shardul Suryawanshi; Navya Jose; Elizabeth Sherly; John P. McCrae


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>Sentiment analysis of Dravidian languages has received attention in recent years. However, most social media text is code-mixed and there is no research available on sentiment analysis of code-mixed Dravidian languages. The Dravidian-CodeMix-FIRE 2020, a track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text, focused on creating a platform for researchers to come together and investigate the problem. There were two languages for this track: (i) Tamil, and (ii) Malayalam. The participants were given a dataset of YouTube comments and the goal of the shared task submissions was to recognise the sentiment of each comment by classifying them into positive, negative, neutral, mixed-feeling classes or by recognising whether the comment is not in the intended language. The performance of the systems was evaluated by weighted-F1 score.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "National University of Ireland Galway", 
      "@type": "Person", 
      "name": "Bharathi Raja Chakravarth"
    }, 
    {
      "affiliation": "ULTRA Arts and Science College", 
      "@type": "Person", 
      "name": "Ruba Priyadharshini"
    }, 
    {
      "affiliation": "Cardiff University", 
      "@type": "Person", 
      "name": "Vigneshwaran Muralidaran"
    }, 
    {
      "affiliation": "National University of Ireland Galway", 
      "@type": "Person", 
      "name": "Shardul Suryawanshi"
    }, 
    {
      "affiliation": "Indian Institute of Information Technology and Management-Kerala", 
      "@type": "Person", 
      "name": "Navya Jose"
    }, 
    {
      "affiliation": "Indian Institute of Information Technology and Management-Kerala", 
      "@type": "Person", 
      "name": "Elizabeth Sherly"
    }, 
    {
      "affiliation": "National University of Ireland Galway", 
      "@id": "https://orcid.org/0000-0002-7227-1331", 
      "@type": "Person", 
      "name": "John P. McCrae"
    }
  ], 
  "headline": "Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-12-12", 
  "url": "https://zenodo.org/record/4320713", 
  "@type": "ScholarlyArticle", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4320713", 
  "@id": "https://doi.org/10.5281/zenodo.4320713", 
  "workFeatured": {
    "@type": "Event", 
    "name": "Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC 2020)"
  }, 
  "name": "Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text"
}
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