publication . Conference object . 2020

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;
Open Access English
  • Published: 12 Dec 2020
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 posi...
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Funded by
EC| Pret-a-LLOD
Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors
  • Funder: European Commission (EC)
  • Project Code: 825182
  • Funding stream: H2020 | RIA
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Conference object . 2020
Provider: ZENODO
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